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2005
AIAA Guidance, Navigation, and Control Conference, San Francisco,
CA, August 15-18, 2005
A Rapid-Prototyping Environment
for En Route Air Traffic Management Research
P. K. Menon, G. M. Diaz,
S. S. Vaddi and S. R. Grabbe
An interactive
software environment (CARAT#) that allows rapid prototyping of en
route air traffic management algorithms is described. This software
employs the NASA-FACET software as its computational engine, and
allows the user to rapidly develop and evaluate en route air traffic
management algorithms. Two versions of CARAT# have been developed.
The first is built upon a commercial software platform, while the
second version employs a freely available interactive, scriptable
environment as its foundation. In addition to permitting direct
access to the FACET capabilities, these interactive environments
enable the users to readily build additional functionality into
FACET and allow the rapid integration with several commercial software
packages. The use of CARAT# software is illustrated through the
formulation of a few research problems. Download
Full Paper
Multi-Stepping Solution
to Linear Two Point Boundary Value Problems in Missile Integrated
Control
S. S. Vaddi, P. K. Menon,
G. D. Sweriduk and E. J. Ohlmeyer
A multi-stepping
state transition matrix approach for solving a linear two-point
boundary value problem is developed. The algorithm employs partitioned
state transition matrix of the Hamiltonian system, and is computationally
less expensive than backward integration of differential Riccatti
equation. This fact makes it ideally suited for online implementation.
The application of this technique is illustrated for a finite interval
moving mass actuated missile guidance-autopilot for target interception.
A combination of feedback linearization and the multi-stepping linear
boundary value solution algorithm is employed in the example. Closed
loop simulation results are given. Download
Full Paper
A Study of Near-Optimal
Endurance-Maximizing Periodic Cruise Trajectories
P. K. Menon, G. D. Sweriduk
and A. H. Bowers
A near-optimal
periodic solution to the maximum-endurance cruise problem is investigated.
Point-mass models are developed for different types of aircraft.
Energy-state methods are used to determine minimum-fuel climb and
maximum-endurance descent schedules in the altitude-airspeed plane,
which are then pieced together with transition arcs to form a periodic
cruise solution. A trajectory tracking controller is designed to
make the point-mass models track the periodic cruise trajectories.
The tracking controller is designed using the feedback linearization
methodology. Closed-loop simulations are then used to compute the
fuel consumption resulting from the use of periodic trajectories.
These values are compared to the steady-state, optimal-endurance
cruise fuel consumption values. For an F/A-18 aircraft model, it
was found that savings of about 17% could be realized if the engines
can be turned off when the aircraft is not on the climb schedule.
However, if the throttle cannot be set below flight idle, the periodic
cruise trajectory is found to produce worse performance than the
steady-state cruise, primarily due to poor specific fuel consumption
at idle throttle setting. Simulations with a model of an F-4 in
periodic cruise with idealized engine characteristics non-zero minimum
throttle did show a modest improvement over the steady-state cruise
performance, but only by 2.7%. Download
Full Paper
23rd
Digital Aviation Systems Conference (DASC), Salt Lake City, UT,
October 24-28, 2004
Evaluation
Plan for System-Wide Benefits of an Airport Surface-Operation Automation
Concept
V. H. L. Cheng
The predicted
growth in air travel requires capacity enhancement in the National
Airspace System (NAS), and congestion at key airports has been recognized
as one of the most prominent problem areas. With flights operating
at limits dictated by operational requirements associated with current
airport configurations, airport expansion plans involving addition
of new runways and taxiways are in place to increase the airports’
capacities. However, the expansion projects necessarily increase
the complexity of the airport configurations, which tends to penalize
the efficiency of the system, partially offsetting the capacity-related
benefits of the investments. The Surface Operation Automation Research
(SOAR) concept has been proposed as a collaborative concept to provide
automation for surface-traffic management (STM) and the flight deck
to enhance the operational efficiency in complex airport environments,
thus softening the unintended penalties associated with airport
expansions. STM automation is based on the Ground-Operation Situation
Awareness and Flow Efficiency (GOSAFE) concept previously reported
to ease runway access conflicts, especially in situations where
active-runway crossings constitute a significant taxi delay problem.
To help achieve the potential GOSAFE benefits, the Flight-Deck Automation
for Reliable Ground Operation (FARGO) concept has been proposed
to provide the necessary flight-deck automation for enabling precision
taxi control to comply with GO-SAFE advisories. Development and
evaluation of the SOAR concept is being pursued in a 5-year program.
A previous publication has documented an initial evaluation of the
concept based on computer simulations of surface operations at a
single hub airport. Expanding on this previous evaluation, this
paper describes a NAS-wide evaluation effort to assess the system-wide
benefits of the SOAR concept. Download
Full Paper
2004
IEEE Intelligent Transportation Systems (ITSC), Washington, DC,
October 3-5
Surface
Operation Automation Research for Airport Tower and Flight Deck
Automation
V. H. L. Cheng
Air traffic
growth has resulted in serious peaktraffic flight delays in our
National Airspace System, and congestion at key airports has been
recognized as one of the key factors contributing to the problem.
Airport expansion plans designed to increase the airports’
capacities cannot fully realize their potential benefits because
they tend to increase the complexity of the airport configurations,
thus reducing the efficiency of the system. The Surface Operation
Automation Research (SOAR) concept was proposed in a previous article
as a collaborative concept to provide automation for surfacetraffic
management and the flight deck to enhance the operational efficiency
in complex airport environments. Development and evaluation of the
SOAR concept is being pursued in a 5-year program. This paper presents
a progress update of the program. Download
Full Paper
2004
AIAA Guidance, Navigation, and Control Conference, Providence, RI,
August 16-19
Surface-Operation
Benefits of a Collaborative Automation Concept
V. H. L. Cheng,
A. Yeh, G. M. Diaz, and D. C. Foyle
The predicted
growth in air travel demands capacity enhancement in the National
Airspace System, and congestion at key airports has been recognized
as one of the most prominent future aviation problem areas. With
flights operating at limits dictated by operational requirements
associated with current airport configurations, airport expansion
plans involving addition of new runways and taxiways are being realized
to increase the airports’ capacities. However, the expansion
plans necessarily increase the complexity of the
airport configurations, which tends to penalize the efficiency of
the system, partially offsetting the capacity-related benefits of
the investments. The Surface Operation Automation Research (SOAR)
concept has been proposed as a collaborative concept to provide
automation for surface-traffic management and the flight deck to
enhance the operational efficiency in complex airport environments,
thus reversing the penalties to fully
realize the capacity benefits sought by the airport expansion plans.
Development and evaluation of the SOAR concept is being pursued
in a 5-year program. This paper describes the results from an initial
evaluation of the concept based on computer simulations of surface
traffic at a single airport. Future work will include system-wide
evaluation of the concept and human-in-the-loop assessment of the
automation technologies. Download
Full Paper
Computer-Aided
Eulerian Air Traffic Flow Modeling and Predictive Control
P. K. Menon
, G. D. Sweriduk , T. Lam, G. M. Diaz, and K. D. Bilimoria
Eulerian models
are used to represent the air traffic environment as traffic flows
between interconnected control volumes representing the airspace
system. While these models can be manually derived for simple air
traffic patterns, computer-based approaches are essential for modeling
realistic airspaces involving multiple traffic streams. A computer-aided
methodology for deriving large-dimensional Eulerian models of air
traffic flow is described here. Starting from the specification
of a few airspace parameters, and traffic data, the modeling technique
can automatically construct Eulerian models of the airspace. The
synthesis of air traffic flow control algorithms using the model
predictive control technique in conjunction with these models is
given. It is shown that the flow control logic synthesis can be
cast as a linear programming problem. The flow control methodology
is illustrated using air traffic data over two regions in the U.S.
airpsace. Download Full
Paper
Nonlinear
Discrete-time Design Methods for Missile Flight Control Systems
P. K. Menon
, G. D. Sweriduk, S. S. Vaddi, and E. J. Ohlmeyer
Discrete-time
designs of flight control systems are required for implementation
on missile-borne computers. While extensive literature is available
on linear discrete-time control system design methods, nonlinear
discrete-time control system design techniques have not been discussed
to the same degree. This paper presents three nonlinear, discrete-time
control system design methods. These are the discrete-time feedback
linearization method, discrete-time state-dependent Riccatti equation
method, and the discrete-time recursive backstepping technique.
Nonlinear missile autopilot design for a conventional missile and
an integrated guidance-control system design for a moving mass actuated
missile are given as illustrative examples. Download
Full Paper
2004
American Control Conference, Boston, MA, June 26–July 4
Estimation
of Aperture Errors with Direct Interferometer-Output Feedback for
Spacecraft Formation Control
H.-L. Lu, V.
H. L. Cheng, J. A. Leitner, R. G. Lyon, and K. G. Carpenter
Long-baseline
space interferometers involving formation flying of multiple spacecraft
hold great promise as
future space missions for high-resolution imagery. The major challenge
of obtaining high-quality interferometric
synthesized images from long-baseline space interferometers is to
control these spacecraft and their optics payloads in the specified
configuration accurately. In this paper, we describe our effort
toward fine control of long-baseline space interferometers without
resorting to additional sensing equipment. We present an estimation
procedure that effectively extracts relative x/y translational exit
pupil aperture deviations from the raw interferometric image with
small estimation errors. Download
Full Paper
Journal
of Guidance, Control, and Dynamics, Vol. 27, No. 1, pp. 118-126,
January-February 2004
Integrated
Guidance and Control of Moving Mass Actuated Kinetic Warheads
P. K. Menon
, G. D. Sweriduk, E. J. Ohlmeyer, and D. S. Malyevac
Modeling, simulation,
and integrated guidance-control of a kinetic warhead utilizing moving-mass
actuators are discussed. Moving masses can be used in any speed
range both in the atmosphere as well as outside it, as long as there
is a force, either aerodynamic or propulsive, acting on the vehicle.
The moving-mass actuation technique offers significant advantages
over conventional aerodynamic control surfaces and reaction control
systems, since the actuators are contained entirely within the airframe
geometric envelope and produce no plumes. The present research develops
a nine degree-of-freedom simulation model of a kinetic warhead with
three moving-mass actuators. This simulation model is used for actuator
sizing and in the development of flight control systems. A software
package for performing numerical feedback linearization is employed
for the design of nonlinear flight control systems. Interception
of non-maneuvering and weaving targets in both endo-atmospheric
and exo-atmospheric conditions is demonstrated. Download
Full Paper
Nonlinear
Studies , Vol. 11, No. 2, pp. 173-198, 2004
Computer-Aided
Synthesis of Nonlinear Missile Autopilots
P. K. Menon
, G. D. Sweriduk, and E. J. Ohlmeyer
Powerful nonlinear
approaches for missile autopilot design have recently emerged in
the literature, which have the potential to deliver improved missile
performance. However, the lack of computational methods has made
it difficult for the practicing engineers to exploit these techniques
in routine applications. Another factor that has slowed their application
is that the missile models are generally available in the form of
simulations, rather than as compact set of differential-algebraic
equations. This makes it difficult to employ nonlinear control system
design techniques requiring algebraic manipulations. This paper
discusses five different approaches for computer-aided nonlinear
control system design that ameliorate these difficulties. These
design techniques are based on simulation models, enabling autopilot
synthesis using missile models of arbitrary complexity. Airframe
stabilization and command tracking of a nonlinear, longitudinal
missile model is used to illustrative the design techniques. Download
Full Paper
2003
AIAA Aircraft Technology, Integration, and Operations (ATIO) Technical
Forum, Denver, CO, November 17–19
Flight
Safety Analysis Tool for Space Vehicle Operations in the National
Airspace
V. H. L. Cheng,
G. M. Diaz, and B. Sridhar
The
military, civilian and commercial demands on space access are expected
to experience a continuing increase. The many potential applications
have been greeted by a plethora of new launch vehicle concepts with
promises to enable more launches with reduced cost and improved
reliability. The expectation that some reusable launch vehicles
can operate to and from regular runways suggests the possibility
of having spaceports conveniently located over the continental US.
However, the prospects of allocating reserved airspace to support
the increasing frequency of launches will likely be unwelcome to
the air transportation community. Furthermore, the relatively lower
reliability of space transportation vehicles compared to that of
air transportation vehicles means that their operational requirements
will need to look beyond normal operations to account for their
impact on the air traffic and ground populations. An analysis tool
has been developed to facilitate the study of new launch vehicle
concepts and new spaceport locations in terms of their impact on
the air traffic and ground populations. The tool has potential applications
in spaceport planning, launch licensing, and mission planning. It
will allow air traffic control to anticipate the impact of space
transportation operations on the air traffic, using data made available
close to the launch or return time windows. It will also enable
launch operators to monitor space launch and return operations with
visualization of the real-time air traffic, and perform post-operation
or post-accident analyses. Download
Full Paper
Evaluation
Plan for an Airport Surface-Operation Automation Concept
V. H. L. Cheng,
A. Yeh, and D. C. Foyle
The
predicted growth in air travel demands capacity enhancement in the
National Airspace System, and congestion at key airports has been
recognized as one of the most prominent problem areas. With flights
operating at limits dictated by operational requirements associated
with current airport configurations, airport expansion plans involving
addition of new runways and taxiways are being realized to increase
the airports’ capacities. However, the expansion plans necessarily
increase the complexity of the airport configurations, which tends
to penalize the efficiency of the system, partially offsetting the
capacity-related benefits of the investments. The Surface Operation
Automation Research (SOAR) concept has been proposed as a collaborative
concept to provide automation for surface-traffic management and
the flight deck to enhance the operational efficiency in complex
airport environments, thus reversing the penalties to fully realize
the capacity benefits sought by the airport expansion plans. Development
and evaluation of the SOAR concept is being pursued in a 5-year
program, and this paper describes the experiments being designed
for an initial evaluation during the second year of this program.
Download Full
Paper
2003
AIAA Guidance, Navigation, and Control Conference, Austin, TX, August
11–14
Investigation
of Space Interferometer Control Using Imaging Sensor Output Feedback
V. H. L. Cheng
and J. A. Leitner
Numerous space
interferometry missions are planned for the next decade to verify
different enabling technologies towards very-long-baseline interferometry
to achieve high-resolution imaging and high-precision measurements.
These objectives will require coordinated formations of spacecraft
separately carrying optical elements comprising the interferometer.
High-precision sensing and control of the spacecraft and the interferometer-component
payloads are necessary to deliver sub-wavelength accuracy to achieve
the scientific objectives. For these missions, the primary scientific
product of interferometer measurements may be the only source of
data available at the precision required to maintain the spacecraft
and interferometer-component formation. A concept is studied for
detecting the interferometer’s optical configuration errors
based on information extracted from the interferometer sensor output.
It enables precision control of the optical components, and, in
cases of space interferometers requiring formation flight of spacecraft
that comprise the elements of a distributed instrument, it enables
the control of the formation-flying vehicles because independent
navigation or ranging sensors cannot deliver the high-precision
metrology over the entire required geometry. Since the concept can
act on the quality of the interferometer output directly, it can
detect errors outside the capability of traditional metrology instruments,
and provide the means needed to augment the traditional instrumentation
to enable enhanced performance. Specific analyses performed in this
study include the application of signal-processing and image-processing
techniques to solve the problems of interferometer aperture baseline
control, interferometer pointing, and orientation of multiple interferometer
aperture pairs.
Download Full Paper
Airport
Surface Operation Collaborative Automation Concept
V. H. L. Cheng
Limitation in
airport runway throughput naturally constrains traffic capacity.
For this reason, the increasing demand on capacity ultimately will
require airport expansion to increase the number of runways and
associated taxiways. Often the airport expansion plans necessitate
an increase in the complexity of surface traffic, leading to a decrease
in surface traffic efficiency, which is reflected as an increase
in taxi delays. Consequently any concept to increase airport traffic
capacity needs to take into account efficiency issues such as taxi
delays as well as safety and operator workload issues. This paper
introduces a collaborative automation concept being developed under
the Surface Operation Automation Research (SOAR) to address some
of these issues in a complex airport environment. The concept is
enabled by advanced technologies envisioned for the 2020 time frame.
It involves surface traffic management (STM) automation to aid tower
operation, and flight-deck automation to help execute clearances
generated by the STM automation for efficient surface operation.
The functions of and integrated operation between these automation
components are described, together with an assessment of enabling
technologies in communication, navigation, and surveillance. Plans
for evaluating the collaborative concept prior to full-scale technology
development are discussed. Download
Full Paper
Optimal
Fixed-Interval Integrated Guidance-Control Laws for Hit-to-Kill
Missiles
P. K. Menon,
G. D. Sweriduk, and E. J. Ohlmeyer
Due to their
potential for reducing the weapon size and efficiency, design methods
for realizing hit-to-kill capabilities in missile systems are of
significant research interest in the missile flight control community.
As defined in this paper, hit-to-kill capability requires the missile
to consistently achieve point-mass miss distances less than half
the minimum dimension of the target. It has been noted in the literature
that the chief contributors to the miss distance in homing missiles
are the seeker errors, autopilot lag, target maneuvers, and target
state estimation lag. Guidance laws for ameliorating the effects
of each of these miss distance components have been discussed in
several recent publications.
The present research addresses the hit-to-kill missile flight control
problem by casting it as an integrated guidance-control problem.
By including the complete dynamics of the missile, the integrated
guidance-control formulation automatically compensates for the impact
of the autopilot lag on the miss distance. The resulting finite-interval
control problem is then solved using a transformation approach.
Interception by a kinetic warhead is used as an example to illustrate
the performance of the integrated guidance-control law. Download
Full Paper
Air
Traffic Flow Modeling, Analysis, and Control
P. K. Menon,
G. D. Sweriduk, and K. D. Bilimoria
Development
of a methodology for mathematical modeling and analysis of air traffic
flow is presented. The modeling approach describes the air traffic
environment in terms of traffic counts in user-defined elements
of the airspace system, and traffic flows between these elements.
The resulting Eulerian model of air traffic allows dynamic analysis
and flow-control system design using well-established control theoretic
approaches. The primary advantage of the Eulerian approach is that
the dimension of the air traffic flow model depends only on the
number of defined elements in the traffic network, and remains invariant
with respect to the number of aircraft in the airspace system. Analytical
development, computational implementation, and traffic flow modeling
and control of a regional airspace are discussed in the paper. Download
Full Paper
21st
IEEE/AIAA Digital Avionics Systems Conference, Irvine, CA, October
29–31, 2002
Computer
Simulation and Analysis Tool for Air and Space Traffic Interaction
Research
V. H. L. Cheng,
P. K. Menon, B. Sridhar, and C. H. Draper
Driven by anticipated
increase in satellite deployments and corresponding increase on
space-launch demand, numerous domestic and international government
programs as well as several “start-up” private ventures
have been formed to develop launch vehicles that will provide less
expensive alternatives to the current fleet, including numerous
reusable launch vehicle concepts. The different launch-vehicle concepts
are expected to have different operational characteristics, and
thus different impact and requirements on the National Airspace
System (NAS). This paper describes a set of computer analysis capabilities
being developed for the study of air traffic management issues related
to the space operations. Download
Full Paper
Collaborative
Automation Systems for Enhancing Airport Surface Traffic Efficiency
and Safety
V. H. L. Cheng
To realize the
operational throughput offered by the available runways, operational
procedures favoring landing and takeoff operations over other runway
occupancies such as crossing by the taxiing traffic have to be adopted.
Consequently, the increase in surface traffic complexity leads to
an efficiency penalty in the form of taxi delay. This problem is
exacerbated by the increase in traffic density enabled by the improved
landing/departure rates. This paper considers a concept for improving
the surface operations at major airports through the use of automation
to manage the complex traffic. The concept includes advanced surface-traffic-control
automation and flight-deck automation, and it builds on advanced
Communication, Navigation, and Surveillance technologies to achieve
a seamless integration of these two major components. Download
Full Paper
2002
AIAA Guidance, Navigation, and Control Conference, Monterey, CA,
August 5–8
Automation
Tools for Enhancing Ground-Operation Situation Awareness and Flow
Efficiency
V. H. L. Cheng
and D. C. Foyle
This paper considers
the surface-traffic problem at major airports and envisions a collaborative
traffic and aircraft control environment where a surface traffic
automation system will help coordinate surface traffic movements.
A previous study has established the performance potential of advanced
guidance and control of a transport aircraft to deliver high-precision
taxi capability. This paper describes the development of a surface
traffic automation system, known as Ground-Operation Situation Awareness
and Flow Efficiency (GO-SAFE). The GO-SAFE system is designed to
work with advanced surveillance and communications technologies,
and anticipated air traffic automation systems under development.
It includes tools to help the ground controller with predicted traffic
information, functionality to manipulate taxi routes, and advanced
capabilities to schedule runway usage to accommodate landing, takeoff,
and crossing traffic. Download
Full Paper
2002
American Control Conference, Anchorage, AK, May 8 – 10
Real-Time
Computational Methods for SDRE Nonlinear Control of Missiles
P. K. Menon,
T. Lam, L. S. Crawford, V. H. L. Cheng
The state dependent
Riccati equation (SDRE) technique is a recently developed methodology
for designing control laws and estimation algorithms for missile
flight control. Although its potential is well recognized by control
theory experts, the industry acceptance of the technique has been
slow. The main reasons for this are: a) unlike linear control technology,
the SDRE approach requires advanced numerical methods for its implementation,
which are not currently available off-the-shelf, b) the perception
that this technique may not be computationally feasible for real-time
implementation on flight control processors.
Both of these issues are addressed in this paper. A software package
for real-time implementation of the SDRE technique was developed
during the present research. The execution of this software at speeds
up to 2 kHz sample rates on problems of the size commonly encountered
in missile flight control applications was then demonstrated on
commercial off-the-shelf processors. Download
Full Paper
IEEE
Transactions on Intelligent Transportation Systems, Vol. 2, No.
2, pp. 39–54, June 2001
Study
of Aircraft Taxi Performance for Enhancing Airport Surface Traffic
Control
V. H. L. Cheng,
V. Sharma, and D. C. Foyle
This paper considers
the surface-traffic problem at major airports and envisions a collaborative
traffic and aircraft control environment where a surface traffic
automation system will help coordinate surface traffic movements.
Specifically, this paper studies the performance potential of high-precision
taxi towards the realization of such an environment. A state-of-the-art
nonlinear control system based on feedback linearization is designed
for a detailed B-737 aircraft taxi model. The simulation model with
the nonlinear control system is evaluated extensively in a scenario
representing the demanding situation of an arrival aircraft crossing
an adjacent active runway immediately following its own landing.
The evaluation establishes the potential of an automated system
to achieve high-precision taxi control, including the ability to
comply with taxi clearances with tight time margins. Download
Full Paper
IFAC
- Control Engineering Practice, Vol. 9, pp. 1095-1106
Integrated
Design of Agile Missile Guidance and Autopilot Systems
P. K. Menon
and E. J. Ohlmeyer
Recent threat
assessments by the US Navy have indicated the need for improving
the accuracy of defensive missiles. This objective can only be achieved
by enhancing the performance of the missile subsystems and by finding
methods to exploit the synergism existing between subsystems. As
a first step towards the development of integrated design methodologies,
this paper develops a technique for integrated design of missile
guidance and autopilot systems. Traditional approach for the design
of guidance and autopilot systems has been to design these subsystems
separately and then to integrate them together before verifying
their performance. Such an approach does not exploit any beneficial
relationships between these and other subsystems. The application
of the feedback linearization technique for integrated guidance-autopilot
system design is discussed. Numerical results using a six degree-of-freedom
missile simulation are given.
Integrated guidance-autopilot systems are expected to result in
significant improvements in missile performance, leading to lower
weight and enhanced lethality. Both of these factors will lead to
a more effective, lower-cost weapon system. Integrated system design
methods developed under the present research effort also have extensive
applications in high performance aircraft autopilot and guidance
systems.
Download Full Paper
2000
AIAA Missile Sciences Conference, Montery, CA, November 7–9
Integrated
Guidance-Control Systems for Fixed-Aim Warhead Missiles
P. K. Menon
and E. J. Ohlmeyer
Integrated guidance-control
systems have the potential to improve missile system performance
by taking advantage of the synergism existing between subsystems.
These systems allow the designer to impose unusual performance requirements
on the missile. Such requirements may arise out of the new sensor
and warhead technologies that may require complex maneuvers at target
interception.
Integrated guidance-control techniques of missiles incorporating
fixed-aim warheads are discussed in this paper. The fixed-aim warhead
technology seeks to reduce the weapon system weight by using a highly
directional warhead, together with enhancements to the guidance-control
systems. The fixed-aim warhead projects the blast fragments in a
direction normal to the missile longitudinal axis. In order to be
effective, this warhead requires the missile to achieve a specific
roll orientation with respect to the target at interception. Moreover,
it is desirable to achieve a near-zero relative lateral velocity
vector orientation with respect to the target at interception to
minimize the sensitivity of the system to fuze delay. These specifications
require the missile to perform a combination of conventional lateral
acceleration maneuvers and terminal attitude maneuvers during its
operation.
Recently developed nonlinear control system design software is used
to synthesize three different integrated guidance-control strategies.
These design approaches use a nonlinear, six-degrees-of-freedom
air-to-air missile model. Simulation results for sample engagement
scenarios are given. Download
Full Paper
8th
AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and
Optimization, Long Beach, CA, September 6–8, 2000
Near-Optimal
Antenna Placement Using Genetic Search
L. S. Crawford,
V. H. L. Cheng, R. Burns, and S. Liu
The optimal
placement of ground stations and antennas in the Air Force Satellite
Control Network (AFSCN) to support the operation of a large set
of satellites is a very difficult problem involving many complex,
interacting constraints and requirements. This paper explores the
application of genetic search techniques to antenna-placement optimization.
The performance index used in the genetic search optimization was
based on a candidate configuration’s cost. Requirements on
the number of satellite contacts that could be scheduled with the
configuration were imposed as constraints.
Three different genetic search formulations of the antenna placement
optimization problem were designed using this set of performance
index and constraints. The first two genetic search formulations
assumed that antenna placement was restricted to a pre-existing
set of candidate ground site locations. The third genetic search
formulation allowed for ground stations to be placed at any location
on the Earth, though locations not inside predefined “feasible”
regions were eliminated. The three genetic search formulations all
found cost-effective solutions to the placement problem while maintaining
serviceability. Download
Full Paper
1999
IEEE International Conference on Control Applications, Hawai'i,
HA, August
22-27
Air
Traffic Control Using Genetic Search Techniques
V. H. L. Cheng,
L. S. Crawford, and P. K. Menon
Genetic search
techniques constitute an optimization methodology effective for
solving discontinuous, non-convex, nonlinear, or non-analytic problems.
This paper explores the application of such techniques to a non-analytic
event-related air traffic control problem, that of runway assignment,
sequencing, and scheduling of arrival flights at an airport with
multiple runways. Several genetic search formulations are developed
and evaluated with a representative arrival traffic scenario. The
results exemplify the importance of the selection of the chromosomal
representation for a genetic-search problem. Download
Full Paper
1999
AIAA Guidance, Navigation, and Control Conference, Portland, OR,
August 9-11 Synthesis
of Flight Vehicle Guidance and Control Laws Using Genetic Search
Methods
L. S. Crawford,
V. H. L. Cheng, and P. K. Menon
Guidance and
control problems in which the system dynamics or the performance
measures are discontinuous, non-smooth, or non-convex are difficult
to attack with conventional methods. Genetic search techniques can
be extremely useful for these types of problems, as genetic methods
are not gradient-based and can operate regardless of the complexity
of the problem dynamics or performance specifications. In this paper,
genetic search methodologies are applied to solving a set of aerospace
guidance and control problems. These problems include homing missile
guidance, spacecraft reorientation, and advanced aircraft control
and guidance logic. The examples presented here demonstrate the
advantages of genetic search methods in synthesizing nonlinear guidance
and control laws for systems that may be difficult or intractable
with conventional approaches. Download
Full Paper
Software
Tools for Nonlinear Missile Autopilot Design
P. K. Menon,
V. R. Iragavarapu, E. J. Ohlmeyer
A computer-aided
design software package for nonlinear control synthesis is discussed.
The software incorporates five different modern nonlinear control
methods. The versatility of the software lies in its ability to
develop nonlinear controllers using a simulation model. As a result,
models of arbitrary complexity can be used in the control law development.
The use of the design software is illustrated through the design
of nonlinear regulators for a longitudinal missile model. Download
Full Paper
Design Of a
Pilot-Activated Recovery System Using Genetic Search Methods
G. D. Sweriduk,
P. K. Menon, M. L. Steinberg
Control design
tasks often require the use of trial-and-error search methods to
obtain a satisfactory solution. Depending upon the nature and the
number of "tuning" parameters or functions, the search
process can be very discontinuous and nonconvex. The genetic search
methods are a recently developed family of techniques for optimization
which offer certain advantages over other techniques. These include
greater freedom in defining cost functions and constraints, and
the ability to automate the design process. Most notably, though,
is the ability to construct new control laws and the potential to
generate non-intuitive solutions as well. This paper demonstrates
the application of genetic search methods to design a Pilot-Activated
Recovery System (PARS) for a modern fighter aircraft. The PARS is
a guidance law that transfers the aircraft from any initial attitude
to a wings-level, nose-up, recovered flight condition. This system
is useful in cases of pilot disorientation. A 6 degree-of-freedom
nonlinear model of a modern, high-performance aircraft is used for
design. The genetic search seeks to produce nonlinear feedback functions
to meet the specified goals and constraints. This intricate problem
highlights some of the advantages of this emerging search technique.
Download Full Paper
Low-Thrust Orbit
Transfer Optimization Using Genetic Search
L. D. Dewell
and P.K. Menon
Most techniques
for solving dynamic optimization problems involve a series of gradient
computations and one-dimensional searches at some point in the optimization
process. A large class of problems, however, does not possess the
necessary smoothness properties that such algorithms require for
good convergence. Even when smoothness conditions are met, poor
initial guesses at the solution often result in convergence to local
minima or even a lack of convergence altogether. For such cases,
genetic search techniques can be used to obtain a solution. In this
paper, trajectory optimization using genetic search methods is illustrated
by solving a complex, nonlinear problem involving low-thrust orbit
transfer. Download Full
Paper
A Study on Aircraft
Taxi Performance Using Nonlinear Feedback Control
V. H. L. Cheng,
V. Sharma, D. C. Foyle
Whenever traffic
density becomes so critically high that it begins to jeopardize
efficiency and safety, the answer lies in the ability to improve
traffic coordination and movement precision. This study considers
the surface-traffic problem at major airports, and establishes the
possibility of high-precision taxi operations by applying state-of-the-art
automatic control technologies. Due to the high-speed environment,
high-precision taxi is most difficult on or across the runway, where
such ability is also potentially most beneficial. In this study,
a nonlinear guidance and control system is synthesized and its potential
performance in high-precision taxi control is verified, including
the ability to taxi continuously immediately after landing to cross
an adjacent runway with the tightest of time margin. Download Full Paper
1999
Mediterranean Control Conference, Haifa, Israel, June 28-30
Integrated
Design of Agile Missile Guidance and Autopilot Systems
P. K. Menon
and E. J. Ohlmeyer
Recent threat
assessments by the US Navy have indicated the need for improving
the accuracy of defensive missiles. This objective can only be achieved
by enhancing the performance of the missile subsystems and by finding
methods to exploit the synergism existing between subsystems. As
a first step towards the development of integrated design methodologies,
this paper develops a technique for integrated design of missile
guidance and autopilot systems. Traditional approach for the design
of missile guidance and autopilot systems has been to design these
subsystems separately and then to integrate them together before
verifying their performance. Such an approach does not exploit any
beneficial relationships between these and other subsystems.
The application of the feedback linearization technique for integrated
guidance-autopilot system design is discussed in this paper. Numerical
results using a six degree-of-freedom missile simulation are given.
Integrated guidance-autopilot systems are expected to result in
significant improvements in missile performance, leading to lower
weight and enhanced lethality. Both of these factors will lead to
a more effective, lower-cost weapon system. Integrated system design
methods developed under the present research effort also have extensive
applications in high performance aircraft autopilot and guidance
systems.
Download Full Paper
1999
American Control Conference, San Diego, CA, June 2-4
Adaptive Target
State Estimation Using Neural Networks
P. K. Menon,
V. Sharma
Development
of an adaptive target state estimation algorithm for use with advanced
missile guidance laws is presented. The target state estimator employs
a linear neural network as the decision-making element in a nine-state
dynamic model of the target. A Kalman filtering algorithm is used
to estimate the neural network weights and the target states. The
estimator performance is evaluated in a point-mass nonlinear simulation
of missile-target engagement for several different engagement scenarios.
This simulation incorporates error models of the seeker and the
on-board inertial navigation system. Comparison of the neural network
target state estimator performance with a conventional target state
estimator reveals that the adaptive estimator provides more accurate
estimates of the target states with minimal lag. Download
Unavailable
1998
AIAA Guidance, Navigation and Control Conference, Boston, MA,
August 10-12
Blended
Homing Guidance Law Using Fuzzy Logic
P. K. Menon
and V. R. Iragavarapu
The application
of fuzzy logic for the development of guidance laws for homing missiles
is presented. Fuzzy logic approximation of the well known proportional
navigation guidance law is discussed, followed by the development
of a blended guidance law using fuzzy logic. The objective of the
latter guidance law is to combine desirable features of three homing
guidance laws to enhance the interception of targets performing
uncertain maneuvers. Fuzzy logic guidance law development employs
triangular, trapezoidal and sigmoidal membership functions. Mamdani-style
inference is employed in the fuzzy inference system. Simulation
results using point-mass missile model and a spiraling, high-speed
ballistic target model are given. Download
Full Paper
Adaptive Techniques
for Multiple Actuator Blending
P. K. Menon
and V. R. Iragavarapu
Advanced missiles
employ multiple actuators to enhance maneuverability and to improve
the intercept probability against highly maneuverable targets. Actuators
employed in such missiles include aerodynamic control surfaces and
reaction jets. While the usage of aerodynamic surfaces are not generally
constrained, reaction jet usage has to be minimized due to the limited
amount of fuel available on-board. A blending logic is employed
to optimally allocate the actuators in response to commands from
the autopilot. This paper discusses the development of a fuel conservative
actuator blending logic that provides relatively invariant actuator
performance over widely varying flight conditions. The invariant
performance is obtained using the model reference adaptive control
technique. Multiple adaptation strategies are employed to ensure
rapid convergence and stable behavior. The performance of the model
reference adaptive actuator blending strategy is illustrated using
a realistic missile model. Download
Full Paper
Robust Command
Augmentation System Design Using Genetic Search Methods
G. D. Sweriduk
and P. K. Menon
This paper describes
the use of a genetic search method in the design of a command augmentation
system for a high-performance aircraft. A genetic algorithm is used
in the design of HÆ controllers for the longitudinal and lateral-directional
channels by selecting the weighting functions. The integral of absolute
value of error between the actual response and that of an ideal
model is used as the fitness criterion, along with additional terms
to penalize for cross-coupling, non-minimum phase behavior, and
the closed-loop infinity-norm bound. Starting from an initial population
of weighting functions, the algorithm generates new functions with
the goal of improving the fitness. These controllers are then evaluated
in a 6 degree-of-freedom nonlinear model of the aircraft. Download Full Paper
1997
AIAA Guidance, Navigation and Control Conference, New Orleans, LA,
August 11-13
Optimal
Strategies for Free Flight Air Traffic Conflict Resolution
P. K. Menon,
G. D. Sweriduk and B. Sridhar
Recent advances
in navigation and data communication technologies make it feasible
for individual aircraft to plan and fly their trajectories in the
presence of other aircraft in the airspace. This way, individual
aircraft can take advantage of the atmospheric and traffic conditions
to optimally plan their paths. This capability is termed as the
free flight concept. While the free flight concept provides new
degrees of freedom to the aircraft operators, it also brings-in
complexities not present in the current air traffic control system.
In the free flight concept, each aircraft has the responsibility
for navigating around other aircraft in the airspace. While this
is not a difficult task under low speed, low traffic density conditions,
the complexities of dealing with potential conflict with multiple
aircraft can significantly increase the pilot's work load. This
paper presents the development of a conflict resolution algorithm
based on the quasi-linearization method to enable the practical
implementation of the free flight concept. The algorithm development
uses nonlinear point-mass aircraft models, and incorporates realistic
operational constraints on individual aircraft. The analytical framework
can also incorporate information about ambient atmospheric conditions.
Realistic conflict resolution scenarios are illustrated. Due to
their speed of execution, these conflict resolution algorithms are
suitable for implementation on-board aircraft. Download
Full Paper
Nonlinear
Missile Autopilot Design Using Time-Scale Separation
P. K. Menon,
V. R. Iragavarapu and E. J. Ohlmeyer
Time-Scale separation
helps improve the robustness of feedback linearized autopilots by
simplifying the feedback linearization maps, and by permitting the
design of low-order controllers. This paper presents the development
of three distinct time-scale separation schemes for the design of
feedback linearized missile autopilots. A six degrees-of-freedom
missile model is used in this work. The performance of these autopilots
are compared with the design that does not use time-scale separation.
Simulation results illustrating controller tracking performance
and robustness are presented. Download Unavailable
1996
AIAA Guidance, Navigation and Control Conference, San Diego, CA, August
11-13
Design
of Nonlinear Autopilots for High Angle of Attack Missiles
P. K. Menon
and M. Yousefpor
Two nonlinear
autopilot design approaches for a tail-controlled high angle of
attack air-to-air missile are described. The research employs a
highly nonlinear, time varying pitch plane rigid-body dynamical
model of a short range missile. Feedback linearization technique
together with linear control theory are then used for autopilot
design. In order to manage the difficulties associated with "zerodynamics"
that arise in tail controlled missiles, two distinct approaches
for approximate feedback linearization are advanced. The first approach
imposes a time-scale structure in the closed-loop dynamics, while
the second technique redefines the output. Performance of these
autopilots are illustrated in a nonlinear simulation. Download
Full Paper
Differential
Game Based Guidance Law for High Angle of Attack Missiles
P. K. Menon
and G.B. Chatterji
A nonlinear
differential game theoretic intercept guidance law for short range
missiles is derived. Differential geometric transformations are
used to convert the nonlinear missile and the target models into
a convenient form for the formulation and solution of the guidance
problem. Guidance law is then derived using the necessary conditions
for optimality. Due to the inclusion of all the significant nonlinearities
in the formulation, the guidance law is useful in advanced missiles
executing large angle of attack maneuvers. The guidance law performance
is illustrated in air-to-surface and air-to-air intercept missions.
Download Full Paper
Enhancing
Aircraft Performance Through Flight/Propulsion System Integration
P. K. Menon,
V. R. Iragavarapu and S. Garg
Aircraft performance
enhancement by integrating the propulsion control system with the
primary flight control system is demonstrated through two nonlinear
flight control design examples. In the first example, high performance
aircraft turning performance improvement using engine thrust modulation
is demonstrated. In the second example, the flight propulsion system
integration is used to achieve precise flight time control for a
transport aircraft. Both control law designs are based on feedback
linearization, and exploit the aircraft dynamic models. Realistic
aircraft models are used to illustrate the responses of the nonlinear
integrated flight/propulsion control systems. Download Full Paper
52nd
AHS Forum, Washington, D.C., June 4-6, 1996
Real-Time Estimation
of Rotorcraft Limit Envelopes Using Neural Networks
P. K. Menon,
V. R. Iragavarapu and M. S. Whalley
Helicopter operation
is constrained by complex limit envelopes that are difficult to
predict and poorly enunciated to the pilot. The ability to sense
and automatically avoid these limits can protect the rotorcraft
from loss of control, avoid catastrophic failure, reduce the number
of minor exceedances that degrade airframe fatigue life, and permit
the pilot to safely fly the aircraft closer to the edge of the envelope.
The development and operation of a neural network-based rotorcraft
limit detection system that generates rotorcraft limit avoidance
data using on-board measurements is discussed. The system combines
manufacturer's envelope limit data together with adaptively determined
envelope limits on-board the aircraft. Both time-varying and time-invariant
limits are included in the neural network. The operation of the
limit detection neural network is demonstrated using data obtained
from six-degree-of-freedom manned rotorcraft simulations. Download
Unavailable
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