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E-raamat: Flight Dynamics and Control of Aero and Space Vehicles

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  • Ilmumisaeg: 10-Dec-2019
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781118934432
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Flight Dynamics and Control of Aero and Space VehiclesSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: Aerospace Series
  • Ilmumisaeg: 10-Dec-2019
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781118934432
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Flight Vehicle Dynamics and Control

Rama K. Yedavalli, The Ohio State University, USA

A comprehensive textbook which presents flight vehicle dynamics and control in a unified framework 

Flight Vehicle Dynamics and Control presents the dynamics and control of various flight vehicles, including aircraft, spacecraft, helicopter, missiles, etc, in a unified framework. It covers the fundamental topics in the dynamics and control of these flight vehicles, highlighting shared points as well as differences in dynamics and control issues, making use of the ‘systems level’ viewpoint.

The book begins with the derivation of the equations of motion for a general rigid body and then delineates the differences between the dynamics of various flight vehicles in a fundamental way. It then focuses on the dynamic equations with application to these various flight vehicles, concentrating more on aircraft and spacecraft cases. Then the control systems analysis and design is carried out both from transfer function, classical control, as well as modern, state space control points of view. Illustrative examples of application to atmospheric and space vehicles are presented, emphasizing the ‘systems level’ viewpoint of control design.

Key features:

  • Provides a comprehensive treatment of dynamics and control of various flight vehicles in a single volume.
  • Contains worked out examples (including MATLAB examples) and end of chapter homework problems.
  • Suitable as a single textbook for a sequence of undergraduate courses on flight vehicle dynamics and control.
  • Accompanied by a website that includes additional problems and a solutions manual.

The book is essential reading for undergraduate students in mechanical and aerospace engineering, engineers working on flight vehicle control, and researchers from other engineering backgrounds working on related topics.

Preface xxi
Perspective of the Book xxix
Part I Flight Vehicle Dynamics
1(164)
Roadmap to Part I
2(3)
1 An Overview of the Fundamental Concepts of Modeling of a Dynamic System
5(18)
1.1
Chapter Highlights
5(1)
1.2 Stages of a Dynamic System Investigation and Approximations
5(3)
1.3 Concepts Needed to Derive Equations of Motion
8(7)
1.3.1 Time Rate of Change Vectors in a Moving (Body Fixed) Frame and a Stationary (Non-rotating, Inertial) Frame
9(2)
1.3.2 Coordinate Transformations
11(4)
1.4 Illustrative Example
15(5)
1.5 Further Insight into Absolute Acceleration
20(1)
1.6
Chapter Summary
20(1)
1.7 Exercises
21(1)
Bibliography
22(1)
2 Basic Nonlinear Equations of Motion in Three Dimensional Space
23(38)
2.1
Chapter Highlights
23(1)
2.2 Derivation of Equations of Motion for a General Rigid Body
23(9)
2.2.1 Translational Motion: Force Equations for a General Rigid Body
24(2)
2.2.2 Rotational Motion: moment equations for a General Rigid Body
26(1)
2.2.3 Scalar Motion Equations for a General Rigid Body
27(5)
2.3 Specialization of Equations of Motion to Aero (Atmospheric) Vehicles
32(11)
2.3.1 Components of the Weight in Body Frame
33(3)
2.3.2 Review of the Equations of Motion for Aircraft
36(1)
2.3.3 Orientation and Flight Path of the Aircraft Relative to a Fixed Frame
37(1)
2.3.4 Procedure to get the Flight Path with Respect to a Fixed Frame
38(2)
2.3.5 Point Mass Performance Equations
40(3)
2.4 Specialization of Equations of Motion to Spacecraft
43(9)
2.4.1 Translational Motion: Orbit Equation
43(1)
2.4.2 Point Mass Satellite Translational Motion Equations in Earth's Gravitational Field
44(2)
2.4.3 Rotational (Attitude) Motion Equations for a Satellite in a Circular Orbit
46(4)
2.4.4 Torque-Free Motion of an Axi-symmetric Spacecraft
50(2)
2.5 Flight Vehicle Dynamic Models in State Space Representation
52(6)
2.5.1 Aircraft Dynamics from the State Space Representation Point of View
53(2)
2.5.2 Spacecraft Dynamics from a State Space Representation Point of View
55(1)
2.5.2.1 Satellite Point Mass Translational Equations of Motion in Polar Coordinates
55(1)
2.5.2.2 Spacecraft Attitude (Rotational) Motion about its Center of Mass
56(1)
2.5.3 Conceptual Differences Between Aircraft Dynamic Models and Spacecraft Dynamic Models
57(1)
2.6
Chapter Summary
58(1)
2.7 Exercises
58(2)
Bibliography
60(1)
3 Linearization and Stability of Linear Time Invariant Systems
61(16)
3.1
Chapter Highlights
61(1)
3.2 State Space Representation of Dynamic Systems
61(2)
3.2.1 Equilibrium State
63(1)
3.3 Linearizing a Nonlinear State Space Model
63(3)
3.3.1 Linearization about a Given Steady State Condition by Neglecting Higher Order Terms
64(2)
3.4 Uncontrolled, Natural Dynamic Response and Stability of First and Second Order Linear Dynamic Systems with State Space Representation
66(7)
3.4.1 Dynamic Response of a First Order Linear System
66(1)
3.4.2 Dynamic Response of a Second Order Linear System
67(6)
3.5
Chapter Summary
73(1)
3.6 Exercises
74(1)
Bibliography
75(2)
4 Aircraft Static Stability and Control
77(40)
4.1
Chapter Highlights
77(1)
4.2 Analysis of Equilibrium (Trim) Flight for Aircraft: Static Stability and Control
77(2)
4.3 Static Longitudinal Stability
79(7)
4.3.1 Contribution of Each Component to the Static Longitudinal Stability (i e to the Pitching Moment)
81(5)
4.4 Stick Fixed Neutral Point and CG Travel Limits
86(6)
4.4.1 Canard Plus the Wing Combination
92(1)
4.5 Static Longitudinal Control with Elevator Deflection
92(7)
4.5.1 Determination of Trim Angle of Attack and Trim Elevator Deflection
95(3)
4.5.2 Practical Determination of Stick Fixed Neutral Point
98(1)
4.6 Reversible Flight Control Systems: Stick Free, Stick Force Considerations
99(6)
4.6.1 Stick Free Longitudinal Stability and Control
100(2)
4.6.2 Stick Force
102(1)
4.6.3 Stick Force Gradient
103(2)
4.7 Static Directional Stability and Control
105(2)
4.7.1 Static Lateral/Directional Control
107(1)
4.8 Engine Out Rudder/Aileron Power Determination: Minimum Control Speed, VMC
107(4)
4.8.1 VMc from βmax and Aileron Considerations
108(3)
4.9
Chapter Summary
111(1)
4.10 Exercises
111(3)
Bibliography
114(3)
5 Aircraft Dynamic Stability and Control via Linearized Models
117(26)
5.1
Chapter Highlights
117(1)
5.2 Analysis of Perturbed Flight from Trim: Aircraft Dynamic Stability and Control
117(5)
5.3 Linearized Equations of Motion in Terms of Stability Derivatives For the Steady, Level Equilibrium Condition
122(2)
5.4 State Space Representation for Longitudinal Motion and Modes of Approximation
124(7)
5.4.1 Summary and Importance of the Stability Derivatives
126(1)
5.4.1.1 Importance of Various Stability Derivatives in Longitudinal Motion
126(1)
5.4.2 Longitudinal Motion Stability Derivatives
126(1)
5.4.2.1 Lift Related Stability Derivatives
126(1)
5.4.2.2 Pitching Moment Related Stability Derivatives
126(1)
5.4.2.3 Control Related Stability Derivatives
127(1)
5.4.3 Longitudinal Approximations
128(1)
5.4.3.1 Phugoid Mode Approximation
128(1)
5.4.3.2 Short Period Approximation
129(1)
5.4.4 Summary of Longitudinal Approximation Modes
130(1)
5.5 State Space Representation for Lateral/Directional Motion and Modes of Approximation
131(7)
5.5.1 Lateral/Directional Motion Stability Derivatives
132(1)
5.5.1.1 Motion related
132(2)
5.5.1.2 Control Related
134(1)
5.5.2 Lateral/Directional Approximations
135(1)
5.5.3 Roll Subsidence Approximation
135(1)
5.5.4 Spiral Convergence/Divergence Approximation
135(1)
5.5.5 Dutch Roll Approximation
136(2)
5.5.6 Summary of Lateral/Directional Approximation Modes
138(1)
5.6
Chapter Summary
138(1)
5.7 Exercises
139(1)
Bibliography
140(3)
6 Spacecraft Passive Stabilization and Control
143(12)
6.1
Chapter Highlights
143(1)
6.2 Passive Methods for Satellite Attitude Stabilization and Control
143(3)
6.2.1 Passive Systems
144(1)
6.2.1.1 Spin Stabilization
144(1)
6.2.1.2 Dual Spin Stabilization and Control
144(1)
6.2.1.3 Gravity Gradient Stabilization and Control
144(1)
6.2.1.4 Magnetic Control
145(1)
6.2.1.5 Aerodynamic Control
146(1)
6.2.1.6 Solar Radiation Pressure
146(1)
6.2.2 Passive/Semi-Active Control
146(1)
6.3 Stability Conditions for Linearized Models of Single Spin Stabilized Satellites
146(3)
6.4 Stability Conditions for a Dual Spin Stabilized Satellite
149(2)
6.5
Chapter Summary
151(1)
6.6 Exercises
152(1)
Bibliography
152(3)
7 Spacecraft Dynamic Stability and Control via Linearized Models
155(8)
7.1
Chapter Highlights
155(1)
7.2 Active Control: Three Axis Stabilization and Control
155(3)
7.2.1 Momentum Exchange Devices: Reaction Wheels
155(1)
7.2.2 Momentum Exchange Devices: Gyrotorquers (or CMGs)
156(1)
7.2.3 Mass Expulsion Devices: Reaction Jets
156(1)
7.2.4 Linearized Models of Single Spin Stabilized Satellites for Control Design
157(1)
7.3 Linearized Translational Equations of Motion for a Satellite in a Nominal Circular Orbit for Control Design
158(2)
7.4 Linearized Rotational (Attitude) Equations of Motion for a Satellite in a Nominal Circular Orbit for Control Design
160(1)
7.5 Open Loop (Uncontrolled Motion) Behavior of Spacecraft Models
161(1)
7.6 External Torque Analysis: Control Torques Versus Disturbance Torques
161(1)
7.7
Chapter Summary
162(1)
7.8 Exercises
162(1)
Bibliography
163(2)
Part II Fight Vehicle Control via Classical Transfer Function Based Methods
165(118)
Roadmap to Part II
166(3)
8 Transfer Function Based Linear Control Systems
169(1)
8.1
Chapter Highlights
169(5)
8.1.1 The Concept of Transfer Function: Single Input, Single Output System
169(2)
8.1.2 An Example for Getting Transfer Functions from State Space Models
171(1)
8.1.3 A Systematic Way of Getting the Transfer Function via the Formula G(s) = C(sI -- A)-1B
171(1)
8.1.4 A Brute Force ad hoc Method
172(1)
8.1.5 Use of a Transfer Function in Solving an LTI System of Equations
173(1)
8.1.6 Impulse Response is the Transfer Function
174(1)
8.2 Poles and Zeroes in Transfer Functions and Their Role in the Stability and Time Response of Systems
174(5)
8.2.1 Minimum Phase and Non-minimum Phase Transfer Functions
176(2)
8.2.2 Importance of the Final Value Theorem
178(1)
8.3 Transfer Functions for Aircraft Dynamics Application
179(4)
8.4 Transfer Functions for Spacecraft Dynamics Application
183(1)
8.5
Chapter Summary
184(1)
8.6 Exercises
184(2)
Bibliography
186(1)
9 Block Diagram Representation of Control Systems
187(16)
9.1
Chapter Highlights
187(1)
9.2 Standard Block Diagram of a Typical Control System
187(5)
9.2.1 A Closed Loop System Subjected to Disturbance
192(1)
9.3 Time Domain Performance Specifications in Control Systems
192(4)
9.3.1 Typical Time Response Specifications of Control Systems
194(1)
9.3.1.1 Transient Response: First Order Systems
194(1)
9.3.1.2 Unit Step Response
194(1)
9.3.1.3 Second Order Systems
194(1)
9.3.1.4 Unit Step Response
194(2)
9.4 Typical Controller Structures in SISO Control Systems
196(4)
9.4.1 Lead Network or Lead Compensator
196(1)
9.4.2 Lag Network or Lag Compensator
197(1)
9.4.3 Relative Stability: Need for Derivative Controllers
198(1)
9.4.4 Steady-State Error Response: Need for Integral Controllers
198(2)
9.4.3 Basic Philosophy in Transfer Function Based Control Design Methods
200(1)
9.5
Chapter Summary
200(1)
9.6 Exercises
201(1)
Bibliography
202(1)
10 Stability Testing of Polynomials
203(10)
10.1
Chapter Highlights
203(1)
10.2 Coefficient Tests for Stability: Routh--Hurwitz Criterion
204(4)
10.2.1 Stability of Polynomials with Real Coefficients via Polynomial Coefficient Testing: The Routh--Hurwitz Criterion
204(4)
10.3 Left Column Zeros of the Array
208(1)
10.4 Imaginary Axis Roots
208(1)
10.5 Adjustable Systems
209(1)
10.6
Chapter Summary
210(1)
10.7 Exercises
210(1)
Bibliography
211(2)
11 Root Locus Technique for Control Systems Analysis and Design
213(18)
11.1
Chapter Highlights
213(1)
11.2 Introduction
213(1)
11.3 Properties of the Root Locus
214(4)
11.4 Sketching the Root Locus
218(1)
11.5 Refining the Sketch
219(4)
11.5.1 Real Axis Breakaway and Break-In Points
220(1)
11.5.2 The jω Axis Crossings
221(1)
11.5.3 Angles of Departure and Arrival
221(2)
11.6 Control Design using the Root Locus Technique
223(2)
11.7 Using MATLAB to Draw the Root Locus
225(1)
11.8
Chapter Summary
226(1)
11.9 Exercises
227(2)
Bibliography
229(2)
12 Frequency Response Analysis and Design
231(20)
12.1
Chapter Highlights
231(1)
12.2 Introduction
231(1)
12.3 Frequency Response Specifications
232(3)
12.3.1 Frequency Response Determination
234(1)
12.4 Advantages of Working with the Frequency Response in Terms of Bode Plots
235(3)
12.4.1 Straight Line Approximation of Bode Plots
235(1)
12.4.2 Summary of Bode Plot Rules
236(2)
12.5 Examples on Frequency Response
238(2)
12.5.1 Bode's Gain Phase Relationship
239(1)
12.5.2 Non-minimum Phase Systems
239(1)
12.6 Stability: Gain and Phase Margins
240(6)
12.6.1 Gain and Phase Margins Determined Analytically
241(3)
12.6.2 Steady State Errors
244(1)
12.6.3 Closed-Loop Frequency Response
245(1)
12.7 Notes on Lead and Lag Compensation via Bode Plots
246(2)
12.7.1 Properties of the Lead Compensator
246(1)
12.7.2 Properties of the Lag Compensator
246(1)
12.7.3 Steps in the Design of Lead Compensators Using the Bode Plot Approach
247(1)
12.7.4 Steps in the Design of Lag Compensators Using Bode Plot Approach
247(1)
12.8
Chapter Summary
248(1)
12.9 Exercises
248(2)
Bibliography
250(1)
13 Applications of Classical Control Methods to Aircraft Control
251(18)
13.1
Chapter Highlights
251(1)
13.2 Aircraft Flight Control Systems (AFCS)
252(1)
13.3 Longitudinal Control Systems
252(7)
13.3.1 Pitch Displacement Autopilot
253(2)
13.3.2 Pitch Displacement Autopilot Augmented by Pitch Rate Feedback
255(2)
13.3.3 Acceleration Control System
257(2)
13.4 Control Theory Application to Automatic Landing Control System Design
259(6)
13.4.1 Glide Path Coupling Phase: Glide Path Stabilization by elevator and Speed Control by Engine Throttle
259(1)
13.4.2 Glide Slope Coupling Phase
260(2)
13.4.3 Flare Control
262(1)
13.4.4 Determination Flare Control Parameters
263(1)
13.4.5 Altitude Hold and Mach Hold Autopilots
264(1)
13.4.6 Conceptual Control System Design Steps
265(1)
13.5 Lateral/Directional Autopilots
265(2)
13.5.1 Steady Coordinated Turn Control System
265(1)
13.5.2 Inertial Cross Coupling
266(1)
13.6
Chapter Summary
267(1)
Bibliography
267(2)
14 Application of Classical Control Methods to Spacecraft Control
269(12)
14.1
Chapter Highlights
269(1)
14.2 Control of an Earth Observation Satellite Using a Momentum Wheel and Offset Thrusters: Case Study
269(12)
14.2.1 Overview
269(1)
14.2.2 Formulations of Equations
270(2)
14.2.3 Design of Attitude Controllers
272(8)
14.2.4 Summary of Results of Case Study
280(1)
14.3
Chapter Summary
281(1)
Bibliography
281(2)
Part III Flight Vehicle Control via Modern State Space Based Methods
283(146)
Roadmap to Part III
284(3)
15 Time Domain, State Space Control Theory
287(20)
15.1
Chapter Highlights
287(1)
15.2 Introduction to State Space Control Theory
287(4)
15.2.1 State Space Representation of Dynamic Systems
288(2)
15.2.2 Linear State Space Systems
290(1)
15.2.3 Comparison of Features of Classical and Modern (State Space Based) Control Theory
291(1)
15.3 State Space Representation in Companion Form: Continuous Time Systems
291(3)
15.4 A State Space Representation of Discrete Time (Difference) Equations
292(2)
15.4.1 Companion Form for Discrete Time Systems
293(1)
15.5 State Space Representation of Simultaneous Differential Equations
294(2)
15.6 State Space Equations from Transfer Functions
296(1)
15.6.1 Obtaining a Transfer Function from State and Output Equations
297(1)
15.7 Linear Transformations of State Space Representations
297(3)
15.8 Linearization of Nonlinear State Space Systems
300(4)
15.8.1 Equilibrium State
301(1)
15.8.2 Linearizing a Nonlinear State Space Model
301(1)
15.8.3 Linearization About a Given Nominal Condition: Jacobian Method
302(2)
15.9
Chapter Summary
304(1)
15.10 Exercises
305(1)
Bibliography
306(1)
16 Dynamic Response of Linear State Space Systems (Including Discrete Time Systems and Sampled Data Systems)
307(16)
16.1
Chapter Highlights
307(1)
16.2 Introduction to Dynamic Response: Continuous Time Systems
307(2)
16.2.1 The State Transition Matrix and its Properties
308(1)
16.3 Solutions of Linear Constant Coefficient Differential Equations in State Space Form
309(1)
16.3.1 Solution to the Homogeneous Case
309(1)
16.3.2 Solution to the Non-homogeneous (Forced) Case
309(1)
16.4 Determination of State Transition Matrices Using the Cayley--Hamilton Theorem
310(4)
16.4.1 For Repeated Roots
312(2)
16.5 Response of a Constant Coefficient (Time Invariant) Discrete Time State Space System
314(3)
16.6 Discretizing a Continuous Time System: Sampled Data Systems
317(2)
16.7
Chapter Summary
319(1)
16.8 Exercises
320(1)
Bibliography
321(2)
17 Stability of Dynamic Systems with State Space Representation with Emphasis on Linear Systems
323(26)
17.1
Chapter Highlights
323(1)
17.2 Stability of Dynamic Systems via Lyapunov Stability Concepts
323(5)
17.2.1 Equilibrium State
324(2)
17.2.2 Lyapunov Method to Determine Stability
326(1)
17.2.3 Lyapunov Stability Analysis for Linear Time Invariant Systems
327(1)
17.3 Stability Conditions for Linear Time Invariant Systems with State Space Representation
328(7)
17.3.1 Continuous Time Systems: Methods for Checking the Hurwitz Stability of a Real matrix
329(1)
17.3.1.1 Method
1. Checking Stability via the Routh--Hurwitz Criterion
329(1)
17.3.1.2 Method
2. Via the Positive Definiteness of the Lyapunov Equation Solution Matrix
330(1)
17.3.1.3 Methods 3 to
5. Via Fuller's Conditions of Non-singularity
331(1)
17.3.1.4 Method
3. Stability Condition I (for the A Matrix to be Hurwitz Stable) in Terms of the Kronecker Sum Matrix D = K[ A])
332(1)
17.3.1.5 Method
4. Stability Condition II for A in Terms of the Lyapunov Matrix C = L[ A]
333(1)
17.3.1.6 Method
5. Stability Condition III for a real Matrix A in Terms of the Bialternate Sum Matrix Q[ A])
334(1)
173.2 Connection between the Lyapunov Matrix Equation Condition and Fuller's Condition II
335(2)
17.3.3 Alternate Stability Conditions for Second Order (Possibly Nonlinear) Systems
335(2)
17.4 Stability Conditions for Quasi-linear (Periodic) Systems
337(1)
17.5 Stability of Linear, Possibly Time Varying, Systems
338(6)
17.5.1 Equilibrium State or Point
339(2)
17.5.2 Review of the Stability of Linear Time Invariant Systems in Terms of Eigenvalues
341(1)
17.5.2.1 Continuous Time Systems: Hurwitz Stability
341(2)
17.5.2.2 Discrete Time Systems (Schur Stability)
343(1)
17.6 Bounded Input-Bounded State Stability (BIBS) and Bounded Input-Bounded Output Stability (BIBO)
344(1)
17.6.1 Lagrange Stability
345(1)
17.7
Chapter Summary
345(1)
17.8 Exercises
345(1)
Bibliography
346(3)
18 Controllability, Stabilizability, Observability, and Detectability
349(20)
18.1
Chapter Highlights
349(1)
18.2 Controllability of Linear State Space Systems
349(2)
18.3 State Controllability Test via Modal Decomposition
351(1)
18.3.1 Distinct Eigenvalues Case
351(1)
18.3.2 Repeated Eigenvalue Case
352(1)
18.4 Normality or Normal Linear Systems
352(1)
18.5 Stabilizability of Uncontrollable Linear State Space Systems
353(2)
18.5.1 Determining the Transformation Matrix T for Controllability Canonical Form
354(1)
18.6 Observability of Linear State Space Systems
355(2)
18.7 State Observability Test via Modal Decomposition
357(1)
18.7.1 The Distinct Eigenvalue Case
357(1)
18.7.2 Repeated Eigenvalue Case
358(1)
18.8 Detectability of Unobservable Linear State Space Systems
358(3)
18.8.1 Determining the Transformation Matrix T for Observability Canonical Form
359(2)
18.9 Implications and Importance of Controllability and Observability
361(4)
18.10 A Display of all Three Structural Properties via Modal Decomposition
365(1)
18.11
Chapter Summary
365(1)
18.12 Exercises
366(2)
Bibliography
368(1)
19 Shaping of Dynamic Response by Control Design: Pole (Eigenvalue) Placement Technique
369(14)
19.1
Chapter Highlights
369(1)
19.2 Shaping of Dynamic Response of State Space Systems using Control Design
369(4)
19.3 Single Input Full State Feedback Case: Ackermann's Formula for Gain
373(2)
19.4 Pole (Eigenvalue) Assignment using Full State Feedback: MIMO Case
375(4)
19.5
Chapter Summary
379(1)
19.6 Exercises
379(2)
Bibliography
381(2)
20 Linear Quadratic Regulator (LQR) Optimal Control
383(14)
20.1
Chapter Highlights
383(1)
20.2 Formulation of the Optimum Control Problem
383(2)
20.3 Quadratic Integrals and Matrix Differential Equations
385(2)
20.4 The Optimum Gain Matrix
387(1)
20.5 The Steady State Solution
388(1)
20.6 Disturbances and Reference Inputs
389(3)
20.7 Trade-Off Curve Between State Regulation Cost and Control Effort
392(3)
20.7.1 Method to Evaluate a Quadratic Cost Subject to a Linear (Stable) State Space System
393(2)
20.8
Chapter Summary
395(1)
20.9 Exercises
395(1)
Bibliography
396(1)
21 Control Design Using Observers
397(16)
21.1
Chapter Highlights
397(1)
21.2 Observers or Estimators and Their Use in Feedback Control Systems
397(8)
21.3 Other Controller Structures: Dynamic Compensators of Varying Dimensions
405(3)
21.4 Spillover Instabilities in Linear State Space Dynamic Systems
408(2)
21.5
Chapter Summary
410(1)
21.6 Exercises
410(1)
Bibliography
410(3)
22 State Space Control Design: Applications to Aircraft Control
413(10)
22.1
Chapter Highlights
413(1)
22.2 LQR Controller Design for Aircraft Control Application
413(1)
22.3 Pole Placement Design for Aircraft Control Application
414(7)
22.4
Chapter Summary
421(1)
22.5 Exercises
421(1)
Bibliography
421(2)
23 State Space Control Design: Applications to Spacecraft Control
423(6)
23.1
Chapter Highlights
423(1)
23.2 Control Design for Multiple Satellite Formation Flying
423(4)
23.2.1 Pole Placement Design for the above problem
427(1)
23.3
Chapter Summary
427(1)
23.4 Exercises
428(1)
Bibliography
428(1)
Part IV Other Related Flight Vehicles
429(43)
Roadmap to Part IV
430(3)
24 Tutorial on Aircraft Flight Control by Boeing
433(10)
24.1 Tutorial Highlights
433(1)
24.2 System Overview
433(3)
24.2.1 Design Philosophy
434(1)
24.2.2 System Architecture and Redundancy
435(1)
24.2.3 Flight Deck Controls
435(1)
24.2.4 System Electronics
435(1)
24.2.5 ARINC 629 Data Bus
436(1)
24.2.6 Interfaces to Other Airplane Systems
436(1)
24.3 System Electrical Power
436(2)
24.3.1 Control Surface Actuation
437(1)
24.3.2 Mechanical Control
437(1)
24.3.3 System Operating Modes
438(1)
24.4 Control Laws and System Functionality
438(3)
24.4.1 Pitch Control
438(1)
24.4.2 Yaw Control
439(1)
24.4.3 Roll Control
440(1)
24.4.4 757 Test Bed
440(1)
24.4.5 Primary Flight Control System Displays and Announcements
440(1)
24.4.6 Glossary
441(1)
24.5 Tutorial Summary
441(1)
Bibliography
442(1)
25 Tutorial on Satellite Control Systems
443(8)
25.1 Tutorial Highlights
443(1)
25.2 Spacecraft/Satellite Building Blocks
443(2)
25.2.1 Attitude and Orbit Control
443(1)
25.2.2 Attitude Control Sensors
444(1)
25.2.2.1 Earth/Horizon Senors
444(1)
25.2.2.2 Sun Sensors and Star Sensors
444(1)
25.2.2.3 Magnetometers
444(1)
25.2.2.4 Gyroscopes
444(1)
25.3 Attitude Actuators
445(1)
25.3.1 Momentum Wheels (CMGs) and Reaction Wheels
445(1)
25.3.1.1 Momentum Wheel
445(1)
25.3.1.2 Reaction Wheel
445(1)
25.4 Considerations in Using Momentum Exchange Devices and Reaction Jet Thrusters for Active Control
445(4)
25.4.1 On-Orbit Operation via Pure Jet Control Systems
446(2)
25.4.2 Recommended Practice for Active Control Systems
448(1)
25.4.2.1 General Considerations
448(1)
25.4.2.2 Thrusting Maneuvers
449(1)
25.4.2.3 Structural Flexibility
449(1)
25.5 Tutorial Summary
449(1)
Bibliography
449(2)
26 Tutorial on Other Flight Vehicles
451(21)
26.1 Tutorial on Helicopter (Rotorcraft) Flight Control Systems
451(11)
26.1.1 Highlights of the Tutorial on Helicopter Flight Vehicles
451(1)
26.1.2 Introduction
451(2)
26.1.3 Equations of Motion
453(1)
26.1.4 Longitudinal Motion
454(2)
26.1.5 Lateral Motion
456(1)
26.1.6 Static Stability
456(1)
26.1.7 Static Stability of the Main Rotor
457(1)
26.1.7.1 Speed
457(1)
26.1.7.2 Angle of Attack
457(1)
26.1.7.3 Fuselage Stability
458(1)
26.1.8 Dynamic Stability
458(1)
26.1.9 Longitudinal Motion
458(1)
26.1.9.1 Stick-fixed Forward Flight
458(1)
26.1.9.2 Hovering Motion
459(1)
26.1.10 Lateral Motion
460(1)
26.1.10.1 Hovering Motion
460(1)
26.1.11 Overview of the Similarities and Differences with Respect to the Fixed Wing Aircraft
460(1)
26.1.11.1 Similarities
461(1)
26.1.11.2 Differences
461(1)
26.1.12 Helicopter Tutorial Summary
462(1)
26.2 Tutorial on Quadcopter Dynamics and Control
462(3)
26.2.1 Quadcopter Tutorial Highlights
462(1)
26.2.2 Unmanned Aerial Systems (UAS) and the role of Quadcopters
463(1)
26.2.3 Dynamics and Control Issues of Quadrotors
463(1)
26.2.3.1 Mathematical Model and Control Inputs
463(2)
26.2.4 Quadcopter Tutorial Summary
465(1)
26.3 Tutorial on Missile Dynamics and Control
465(3)
26.3.1 Missile Tutorial Highlights
465(1)
26.3.2 Introduction
465(2)
26.3.2.1 Roll Stabilization
467(1)
26.3.2.2 Aerodynamic and Ballistic Missiles
467(1)
26.3.3 Missile Tutorial Summary
468(1)
26.4 Tutorial on Hypersonic Vehicle Dynamics and Control
468(2)
26.4.1 Hypersonic Vehicle Tutorial Highlights
468(1)
26.4.2 Special Nature of Hypersonic Flight: Hypersonic Flight Stability and Control Issues
468(2)
26.4.3 Hypersonic Vehicle Tutorial Summary
470(1)
Bibliography
470(1)
Appendices
471(1)
Appendix A Data for Flight Vehicles
472(7)
A.1 Data for Several Aircraft
472(1)
A.1.1 A-7A
472(2)
A.1.2 A-4D
474(2)
A.2 Data for Selected Satellites
476(3)
Appendix B Brief Review of Laplace Transform Theory
479(8)
B.1 Introduction
479(1)
B.2 Basics of Laplace Transforms
479(3)
B.3 Inverse Laplace Transformation using the Partial Fraction Expansion Method
482(1)
B.4 Exercises
483(4)
B.4.1 Exercises on Laplace Transformation
483(1)
B.4.2 Exercises on Inverse Laplace Transformation
484(1)
B.4.3 Other Exercises
484(3)
Appendix C A Brief Review of Matrix Theory and Linear Algebra
487(18)
C.1 Matrix Operations, Properties, and Forms
487(2)
C.1.1 Some Useful Matrix Identities
488(1)
C.2 Linear Independence and Rank
489(1)
C.2.1 Some Properties Related to Determinants
489(1)
C.3 Eigenvalues and Eigenvectors
490(2)
C.4 Definiteness of Matrices
492(1)
C.5 Singular Values
493(4)
C.5.1 Some useful singular value properties
495(1)
C.5.2 Some Useful Results in Singular Value and Eigenvalue Decompositions
496(1)
C.6 Vector Norms
497(2)
C.7 Simultaneous Linear Equations
499(2)
C.7.1 Introduction
499(1)
C.7.2 Problem Statement and Conditions for Solutions
499(2)
C.8 Exercises
501(2)
Bibliography
503(2)
Appendix D Useful MATLAB Commands
505(4)
D.1 Author Supplied Matlab Routine for Formation of Fuller Matrices
505(2)
D.2 Available Standard Matlab Commands
507(2)
Index 509
Rama K. Yedavalli is a Professor in the Department of Mechanical and Aerospace Engineering at Ohio State University. His research interests include systems level robust stability analysis and control design for uncertain dynamical systems with applications to mechanical and aerospace systems. He also works on robust control, distributed control, adaptive control, hybrid systems control and control of time delay systems with applications to mechanical and aerospace systems.
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