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A Comparison of Two Methods Used to Deal with Saturation of Multiple, Redundant Aircraft Control Effectors

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

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A Comparison of Two Methods Used to Deal with Saturation of
Multiple, Redundant Aircraft Control Effectors
Mark D. Nelson
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. Frederick Lutze
Dr. Chris Hall
August 2001
Blacksburg, Virginia
Keywords: Control Allocation, Moment Direction Preservation, Moment Prioritization,
Control Saturation, Redundant Aircraft Controls
Copyright 2001, Mark D. Nelson

A Comparison of Two Methods Used to Deal with Saturation of
Multiple, Redundant Aircraft Control Effectors
Mark D. Nelson
(ABSTRACT)
A comparison of two methods to deal with allocating controls for unattainable moments
in an aircraft was performed using a testbed airframe that resembled an F/A-18 with a
large control effector suite. The method of preserving the desired moment direction to deal
with unattainable moments is currently used in a specific control allocator. A new method
of prioritizing the pitch axis is compared to the moment-direction preservation. Realtime
piloted simulations are completed to evaluate the characteristics and performance of these
methods.
A direct comparison between the method of preserving the moment direction by scaling the
control solution vector and prioritizing the pitching moment axis is performed for a specific
case. Representative maneuvers are flown with a highly unstable airframe to evaluate the
ability to achieve the specific task. Flight performance and pilot interpretation are used to
evaluate the two methods.
Pilot comments and performance results favored the method of pitch-axis prioritization.
This method provided favorable flight characteristics compared to the alternative method of
preserving the moment direction for the specific tasks detailed in this paper.

Acknowledgments
I would like to thank first and foremost my parents for their support and unending advice
that have helped me to make the most of myself and live my life to the fullest. To my sister
Julie and my brother Daniel with whom I have the fortune of knowing. Julie’s pursuit to
make the most of life in the face of constant hurdles, and Dan’s quest to never be in the
shadow of older siblings has made our relationships both exhaustive and rewarding.
I would like to thank my advisor Dr. Wayne Durham for his persistence and patience with me
and my academic career. He has given me the perfect work environment and has constantly
pushed me, with much resistance, to achieve all that I could. To the remaining members of
my commitee, Dr. Fred Lutze and Dr. Chris Hall, thank you for making my education at
Virginia Tech a wonderful experience and for sharing everyday life experiences with me.
I must thank my friends that have made my life at Virginia Tech so enjoyable. To Mike
Henry, Kevin Waclawicz, Dan Hart, Todd Norell, Trevor Wallace, Roger Beck, Josh Durham,
Bill Oetjens, and others that mean so much to me. To the friend that I lost, and the ones
that I have recently gained, I will always remem ber you. Finally, I would like to thank the
few friends back home who have offered me support from a long ways away and have never
lost touch.
iii

Contents
Abstract......................................... ii
Acknowledgments.................................... iii
TableofContents.................................... iv
ListofFigures...................................... v
ListofTables ...................................... vi
Nomenclature...................................... 1
1 Introduction 1
1.1 Background .................................... 1
1.2 AllocationProblem................................ 2
1.3 AllocationMethods................................ 3
1.4 AttainableMoments ............................... 5
1.5 ResearchObjectives................................ 7
2 Control Allocation 9
2.1 Introduction.................................... 9
2.2 Background .................................... 9
2.3 CascadingGeneralizedInverses ......................... 10
2.4 FacetSearch.................................... 10
iv

2.5 BisectingEdgeSearchingAlgorithm....................... 11
2.5.1 Two-DimensionalProblem........................ 12
2.5.2 Three-DimensionalProblem ....................... 13
3 Airframe Simulation and Implementation 16
3.1 Introduction.................................... 16
3.2 F/A-18Testbed.................................. 16
3.3 AirframeSimulation ............................... 20
3.3.1 Aero.f ................................... 20
3.3.2 Aeropa.f.................................. 20
3.3.3 Control.f.................................. 20
3.3.4 Constants.f ................................ 22
3.3.5 Engine.f .................................. 23
3.3.6 Alloc.f ................................... 23
3.4 SimulationEnvironment ............................. 23
3.5 AirframeValidity ................................. 23
4 Pitch Prioritization 25
4.1 Introduction.................................... 25
4.2 Sizing the Attainable Moment Subset . ..................... 25
4.3 MethodofPitchPrioritizationandMomentDirectionPreservation ..... 29
5 Represen tative maneuver 32
5.1 Background .................................... 32
5.2 Offset Carrier Approach maneuver . . ..................... 32
5.2.1 Offset Carrier Approach maneuver: Description . . .......... 33
v

Citations
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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

Flying -Wing Aircraft Control Allocation

TL;DR: In this article, a nonlinear dynamic inverse theory based control allocation for flying-wing configuration aircraft is proposed, and the attitude-training flight control system based on nonlinear Dynamic Inverse Theory (DIT) is designed.
Proceedings ArticleDOI

Control allocation for linear systems with four or more objectives

Roger E. Beck
TL;DR: Methods for allocating redundant controls for systems with four or more objectives are studied and the recursive allocator is found to scale linearly with the number of controls.
References
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Book

Aircraft Control and Simulation

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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

Closed-form solutions to constrained control allocation problem

TL;DR: This paper describes the results of recent research into the problem of allocating several flight control effectors to generate moments acting on a flight vehicle using various generalized inverse solutions and a hybrid solution utilizing daisy chaining.
Dissertation

Constrained control allocation for systems with redundant control effectors

TL;DR: The Null-Space Intersection method was derived from the same principles used to compute for a generalized inverse, the principles involved in finding the intersection of a subspace with a higher dimensional polytope.