scispace - formally typeset
Open AccessProceedings ArticleDOI

A Comparison of Control Allocation Methods for the F-15 ACTIVE Research Aircraft Utilizing Real-Time Piloted Simulations

TLDR
In this article, the authors present a list of acknowledgements and acknowledgements for the work of the authors of this article. But they do not mention the authors' work in this paper.
Abstract
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Table of

read more

Content maybe subject to copyright    Report

A Comparison of Control Allocation Methods for the F-15 ACTIVE
Research Aircraft Utilizing Real-Time Piloted Simulations
Kevin R. Scalera
Thesis submitted to the Faculty of the
Virginia Polytechnic Institute and State University
in partial fulfillment of the requirements for the degree of
Master of Science
in
Aerospace Engineering
Dr. Wayne Durham - chair
Dr. Mark Anderson
Dr. Frederick Lutze
July 1999
Blacksburg, Virginia
Keywords: Control Allocation, Aircraft Dynamics, ACTIVE, Reconfiguration
Copyright 1999, Kevin R. Scalera

A Comparison of Control Allocation Methods for the F-15 ACTIVE
Research Aircraft Utilizing Real-Time Piloted Simulations
Kevin R. Scalera
(ABSTRACT)
A comparison of two control allocation methods is performed utilizing the F-15 ACTIVE
research vehicle. The control allocator currently implemented on the aircraft is replaced
in the simulation with a control allocator that accounts for bo th control effector positions
and rates. Validation of the performance of this Moment Rate Allocation scheme through
real-time piloted simulations is desired for an aircraft with a high fidelity control law and a
larger control effector suite.
A more computationally efficient search algorithm that alleviates the timing concerns as-
sociated with the early work in Direct Allocation is presented. This new search algorithm,
deemed the Bisecting, Edge-Search Algorithm, utilizes concepts derived from pure geometry
to efficiently determine the intersection of a line with a convex faceted surface.
Control restoring methods, designed to drive control effectors towards a “desired” configu-
ration with the control power that remains after the satisfaction of the desired moments, are
discussed. Minimum-sideforce restoring is presented. In addition, the concept of variable
step size restoring algorithms is introduced and shown to yield the best tradeoff between
restoring convergence speed and control c hatter reduction.
Representative maneuvers are flown to evaluate the control allocator’s ability to perform
during realistic tasks. An inve stigation is performed into the capability of the control allo-
cators to reconfigure the control effectors in the event of an identified control failure. More
specifically, once the control allocator has been forced to reconfigure the controls, an inves-
tigation is undertaken into possible performance degradation to determine whether or not
the aircraft will still demonstrate acceptable flying qualities.
A direct comparison of the performance of each of the two control allocators in a reduced
global position limits configuration is investigated. Due to the highly redundant control
effector suite of the F-15 ACTIVE, the aircraft, utilizing Moment Rate Allocation, still ex-
hibits satisfactory performance in this configuration. The ability of Moment Rate Allocation
to utilize the full moment generating capabilities of a suite of controls is demonstrated.

Acknowledgments
I would like to extend my most sincere gratitude to my parents for their support and en-
couragement over the years. They have inspired me to make the most of myself and to live
each day to the fullest. It is because of their guidance and direction that I find myself conti-
nously striving towards the top with aspirations of overcoming any obstacle along the way.
To my brothers Steve and Jon between whom I have been fortunate enough to have grown
up. With Steve’s endless effort to lead the way, blazing new trails and setting benchmarks
at each step, and with Jon’s relentless desire to never stay in the shadow of Steve and I, it
has thus far been an exhausting y et rewarding quest through academia and life.
I must thank my advisor Dr. Wayne Durham for his persistence and patience with me.
He took me under his wing and pushed me to discover new things and really question and
ponder what had already been found. He always challenged me to try to figure out the
solution to a problem on my own before seeing how somebody else s olved it, and for this
and his ceaseless tutelage I am deeply indebted to him. To the remaining members of m y
committee, Dr. Fred Lutze and Dr. Mark Anderson, thank you for helping to guide me
through my education and for sharing your seemingly endless knowledge with me.
I would also like to acknowledge the help and support that Keith Balderson and his group
at Manned Flight Simulator have given in support of making the Flight Simulation Lab the
facility it is today. To Jim Buckley and John Bolling at Boeing Phantom Works, thank you
for offering debugging hints as well as other necessary data crucial to the implementation of
the F-15 ACTIVE model and the completion of my research.
I must thank my friends that have helped to make my stay at Virginia Tech so enjoyable.
To Drew Robbins, Greg Stagg, Bill Oetjens, Dan Lluch, Roger Beck, Mike Phillips, Michelle
Glaze, Jeff Leedy, Josh Durham, Abhishek Kumar and Mark Nelson, thank you for creating a
work environment in the Simlab that was second to none. To the rest of the Aerospace crew,
iii

especially Cindy Whitfield, John Prebola, Alex Remington, Samantha Magill, Matt Long,
Troy Jones and Mike Goody, thanks for two years of nonstop fun, innumerous memories and
for sharing so much time and so many experiences with me outside of work. Finally, I would
like to thank my friends from back home who have offered me support and encouragement
from hundreds of miles away and kept true to their promise to never lose touch.
Financial support for this research project was provided by the Naval Air Warfare Center,
Aircraft Division under Contract N00178-98-D-3017. The views and conclusions contained
herein are those of the author and should not be interpreted as necessarily representing the
official po licies or endorsements, either expressed or implied, of Naval Air Warfare Center or
any other agency of the U.S. Government.
iv

Contents
Abstract......................................... ii
Acknowledgments.................................... iii
TableofContents.................................... v
ListofFigures...................................... ix
ListofTables ...................................... xiv
Nomenclature...................................... xv
1 Introduction 1
1.1 Background .................................... 1
1.2 ResearchObjectives................................ 3
1.3 SuggestionstotheReader ............................ 5
2 F-15 ACTIVE 6
2.1 Introduction.................................... 6
2.2 ACTIVEObjectives ............................... 6
2.3 Hardware ..................................... 7
2.4 ControlLaw.................................... 8
2.4.1 Objectives................................. 8
2.4.2 DynamicInversionFormat........................ 9
v

Citations
More filters
Proceedings ArticleDOI

A closed-loop comparison of control allocation methods

TL;DR: In this paper, the authors compared closed-loop and open-loop control allocation methods for a prescribed rolling maneuver with a dynamic inversion control law to perform the same rolling maneuver in a simplified 5 degree-of-freedom nonlinear simulation with seven control effectors.
PatentDOI

Computationally efficient control allocation

TL;DR: In this paper, a computationally efficient method for calculating near-optimal solutions to the three-objective, linear control allocation problem is disclosed, which is measured by the number of floating-point operations required for solution.

Nichtlineare adaptive Regelung eines unbemannten Fluggerätes

TL;DR: In this paper, a nichtlinearer dynamischer Inversion beruhendes adaptives Regelungskonzept is proposed, e.g., for the autonome Durchfuhrung of a geplanten Flugmission, which erlaubt die volle Ausnutzung der Flugleistungen der Konfiguration.
Proceedings ArticleDOI

High-fidelity simulation testing of control allocation methods

TL;DR: In this paper, the authors describe high-fidelity simulation testing of some of the more popular advanced control allocation techniques integrated with two separate dynamic inversion control laws, including variations of quadratic programming, linear programming, direct allocation, cascaded generalized inverse, and weighted pseudo-inverse.
References
More filters
Book

Aircraft Control and Simulation

TL;DR: Equations of Motion Building the Aircraft Model Basic Analytical and Computational Tools Aircraft Dynamics and Classical Design Techniques Modern Design Techniques Robustness and Multivariable Frequency-Domain Techniques Digital Control Appendices Index.
Journal ArticleDOI

Constrained Control Allocation

TL;DR: In this article, the problem of the allocation of several airplane flight controls to the generation of specified body-axis moments is addressed, and a direct method of allocating these several controls is presented that guarantees the maximum possible moment can be generated within the constraints of the controls.
Journal ArticleDOI

Constrained control allocation - Three-moment problem

TL;DR: In this paper, a method for the solution of the constrained control allocation problem for the case of three moments is presented, in which the number of controls is greater than the total number of moments being controlled, and the ranges of the controls are constrained to certain limits.
Journal ArticleDOI

Robust Dynamic Inversion for Control of Highly Maneuverable Aircraft

TL;DR: In this article, the authors present a methodology for the design of flight controllers for aircraft operating over large ranges of angle of attack using a combination of dynamic inversion and structured singular value (p) synthesis.
Journal ArticleDOI

System identification for adaptive and reconfigurable control

TL;DR: In this article, an efficient static system identification method was developed that incorporates prior information, which enhances the performance of the identification algorithm, yielding more accurate parameter estimates, making it suitable for adaptive and reconfigurable control.
Frequently Asked Questions (6)
Q1. What is the title of the paper?

Control restoring methods, designed to drive control effectors towards a “desired” configuration with the control power that remains after the satisfaction of the desired moments, are discussed. 

The control allocator currently implemented on the aircraft is replaced in the simulation with a control allocator that accounts for both control effector positions and rates. 

Financial support for this research project was provided by the Naval Air Warfare Center, Aircraft Division under Contract N00178-98-D-3017. 

The authorwould like to thank my friends from back home who have offered me support and encouragement from hundreds of miles away and kept true to their promise to never lose touch. 

Validation of the performance of this Moment Rate Allocation scheme through real-time piloted simulations is desired for an aircraft with a high fidelity control law and a larger control effector suite. 

It is because of their guidance and direction that The authorfind myself continously striving towards the top with aspirations of overcoming any obstacle along the way.