Atjaunināt sīkdatņu piekrišanu

Autonomous Safety Control of Flight Vehicles [Hardback]

, , ,
  • Formāts: Hardback, 200 pages, height x width: 234x156 mm, weight: 680 g, 16 Tables, black and white; 59 Line drawings, black and white; 3 Halftones, black and white; 62 Illustrations, black and white
  • Izdošanas datums: 24-Feb-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 0367701154
  • ISBN-13: 9780367701154
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 171,76 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Bibliotēkām
Autonomous Safety Control of Flight VehiclesPalielināt
  • Formāts: Hardback, 200 pages, height x width: 234x156 mm, weight: 680 g, 16 Tables, black and white; 59 Line drawings, black and white; 3 Halftones, black and white; 62 Illustrations, black and white
  • Izdošanas datums: 24-Feb-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 0367701154
  • ISBN-13: 9780367701154
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780367701154.html
Keywords:
Aerospace vehicles are by their very nature a crucial environment for safety-critical systems. By virtue of an effective safety control system, the aerospace vehicle can maintain high performance despite the risk of component malfunction and multiple disturbances, thereby enhancing aircraft safety and the probability of success for a mission.

Autonomous Safety Control of Flight Vehicles presents a systematic methodology for improving the safety of aerospace vehicles in the face of the following occurrences: a loss of control effectiveness of actuators and control surface impairments; the disturbance of observer-based control against multiple disturbances; actuator faults and model uncertainties in hypersonic gliding vehicles; and faults arising from actuator faults and sensor faults. Several fundamental issues related to safety are explicitly analyzed according to aerospace engineering system characteristics; while focusing on these safety issues, the safety control design problems of aircraft are studied and elaborated on in detail using systematic design methods. The research results illustrate the superiority of the safety control approaches put forward.

The expected reader group for this book includes undergraduate and graduate students but also industry practitioners and researchers.

About the Authors:

Xiang Yu is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include safety control of aerospace engineering systems, guidance, navigation, and control of unmanned aerial vehicles.

Lei Guo, appointed as "Chang Jiang Scholar Chair Professor", is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include anti-disturbance control and filtering, stochastic control, and fault detection with their applications to aerospace systems.

Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Québec, Canada. His research interests include fault diagnosis and fault-tolerant control, and cooperative guidance, navigation, and control (GNC) of unmanned aerial/space/ground/surface vehicles.

Jin Jiang is a Professor in the Department of Electrical & Computer Engineering, Western University, London, Ontario, Canada. His research interests include fault-tolerant control of safety-critical systems, advanced control of power plants containing non-traditional energy resources, and instrumentation and control for nuclear power plants.
Preface xi
List of Figures
xv
List of Tables
xix
1 The Development of Safety Control Systems
1(14)
1.1 Introduction
1(2)
1.2 Philosophical Distinctions between Active and Passive FTCSs
3(7)
1.2.1 Architecture and Philosophy of an Active FTCS
3(2)
1.2.2 Architecture and Philosophy of a Passive FTCS
5(1)
1.2.3 Summary of FTCS
6(1)
1.2.3.1 Advantages of an Active FTCS
7(1)
1.2.3.2 Limitations of an Active FTCS
8(1)
1.2.3.3 Advantages of a Passive FTCS
9(1)
1.2.3.4 Limitations of a Passive FTCS
9(1)
1.3 Basic Concept and Classification of Anti-Disturbance Control Systems
10(1)
1.4 Safety-Critical Issues of Aerospace Vehicles
11(2)
1.4.1 Safety Bounds
11(1)
1.4.2 Limited Recovery Time
11(1)
1.4.3 Finite-Time Stabilization/Tracking
11(1)
1.4.4 Transient Management
12(1)
1.4.5 Composite Faults and Disturbances
12(1)
1.5 Book Outline
13(2)
2 Hybrid Fault-Tolerant Control System Design against Actuator Failures
15(26)
2.1 Introduction
15(2)
2.2 Modeling of Actuator Faults through Control Effectiveness
17(4)
2.2.1 Function of Actuators in an Aircraft
17(1)
2.2.2 Analysis of Faults in Hydraulic Driven Control Surfaces
17(3)
2.2.3 Modeling of Faults in Multiple Actuators
20(1)
2.3 Objectives and Formulation of Hybrid FTCS
21(3)
2.4 Design of the Hybrid FTCS
24(8)
2.4.1 Passive FTCS Design Procedure
25(5)
2.4.2 Reconfigurable Controller Design Procedure
30(1)
2.4.3 Switching Function among Different Controllers
31(1)
2.5 Numerical Case Studies
32(7)
2.5.1 Description of the Aircraft
32(1)
2.5.2 Performance Evaluation under the Passive FTCS
33(2)
2.5.3 Performance Evaluation under Reconfigurable Controller
35(1)
2.5.4 Nonlinear Simulation of the Hybrid FTCS
36(3)
2.6 Conclusions
39(1)
2.7 Notes
40(1)
3 Safety Control System Design against Control Surface Impairments
41(24)
3.1 Introduction
41(1)
3.2 Aircraft Model with Redundant Control Surfaces
42(4)
3.2.1 Nonlinear Aircraft Model
43(1)
3.2.2 Actuator Dynamics
44(1)
3.2.3 Linearized Aircraft Model with Consideration of Faults
45(1)
3.3 Redundancy Analysis and Problem Formulation
46(4)
3.3.1 Redundancy Analysis
47(1)
3.3.2 Problem Statement
47(3)
3.4 FTCS Design
50(4)
3.4.1 FTC Design via State Feedback
52(1)
3.4.2 FTC via Static Output Feedback
53(1)
3.5 Illustrative Examples
54(10)
3.5.1 Example 1 (State Feedback Case)
56(2)
3.5.2 Example 2 (Static Output Feedback Case)
58(4)
3.5.3 Sensitivity Analysis
62(2)
3.6 Conclusions
64(1)
3.7 Notes
64(1)
4 Multiple Observers Based Anti-Disturbance Control for a Quadrotor UAV
65(24)
4.1 Introduction
65(2)
4.2 Quadrotor Dynamics with Multiple Disturbances
67(5)
4.2.1 Quadrotor Dynamic Model
67(3)
4.2.2 The Analysis of Disturbances
70(2)
4.3 Design of Multiple Observers Based Anti-Disturbance Control
72(6)
4.3.1 Control for Translational Dynamics
72(1)
4.3.1.1 DO Design
73(1)
4.3.1.2 ESO Design
73(1)
4.3.2 Control for Rotational Dynamics
74(1)
4.3.3 Stability Analysis
75(1)
4.3.3.1 Position Loop
75(2)
4.3.3.2 Attitude Loop
77(1)
4.4 Flight Experimental Results
78(10)
4.4.1 Flying Arena and System Configuration
79(1)
4.4.2 Quadcopter Flight Scenarios
80(1)
4.4.2.1 Test 1
80(2)
4.4.2.2 Test 2
82(1)
4.4.2.3 Test 3
82(1)
4.4.2.4 Test 4
82(4)
4.4.3 Assessment
86(2)
4.5 Conclusions
88(1)
4.6 Notes
88(1)
5 Safety Control System Design of HGV Based on Adaptive TSMC
89(28)
5.1 Introduction
89(3)
5.2 Preliminaries
92(1)
5.3 Mathematical Model of a HGV
92(3)
5.3.1 Nonlinear HGV Model
92(2)
5.3.2 Actuator Fault Model
94(1)
5.3.3 Problem Statement
94(1)
5.4 Control-Oriented Model
95(4)
5.5 Safety Control System Design of a HGV against Faults and Uncertainties
99(8)
5.5.1 Multivariable TSMC
99(5)
5.5.2 Safety Control System Based on Adaptive Multivariable TSMC Technique
104(3)
5.6 Simulation Results
107(4)
5.6.1 HGV Flight Condition and Simulation Scenarios
107(2)
5.6.2 Simulation Analysis of Scenario I
109(1)
5.6.3 Simulation Analysis of Scenario II
109(2)
5.7 Concluding Remarks
111(4)
5.8 Notes
115(2)
6 Safety Control System Design of HGV Based on Fixed-Time Observer
117(20)
6.1 Introduction
117(1)
6.2 HGV Modeling and Problem Statement
118(6)
6.2.1 HGV Dynamics
118(2)
6.2.2 Control-Oriented Model Subject to Actuator Faults and Uncertainties
120(3)
6.2.3 Problem Statement
123(1)
6.3 Fixed-Time Observer
124(2)
6.3.1 An Overview of the Developed Observer and Accommodation Architecture
124(1)
6.3.2 Fixed-Time Observer
124(2)
6.4 Finite-Time Accommodation Design
126(4)
6.5 Numerical Simulations
130(4)
6.5.1 HGV Flight Conditions
130(1)
6.5.2 Simulation Scenarios
130(1)
6.5.3 Simulation Results
131(3)
6.6 Conclusions
134(1)
6.7 Notes
135(2)
7 Fault Accommodation with Consideration of Control Authority and Gyro Availability
137(32)
7.1 Introduction
137(2)
7.2 Aircraft Model and Problem Statement
139(7)
7.2.1 Longitudinal Aircraft Model Description
139(3)
7.2.2 Analysis of Flight Actuator Constraints
142(2)
7.2.3 Failure Modes and Modeling of Flight Actuators
144(1)
7.2.4 Failure Modes and Modeling of Flight Sensor Gyros
144(1)
7.2.5 Problem Statement
145(1)
7.3 Fault Accommodation with Actuator Constraints
146(5)
7.3.1 An Overview of the Fault Accommodation Scheme
146(1)
7.3.2 Fault Accommodation within Actuator Control Authority
146(5)
7.4 Fault Accommodation with Actuator Constraints and Sensor-less Angular Rate
151(6)
7.4.1 An Overview of the SMO-Based Fault Accommodation Scheme with Sensorless Angular Velocity
151(1)
7.4.2 A SMO for Estimating Angular Rate
152(1)
7.4.3 Integrated Design of SMO and Fault Accommodation
153(4)
7.5 Simulation Studies
157(10)
7.5.1 Simulation Environment Description
157(1)
7.5.2 Simulation Scenarios
157(2)
7.5.3 Results of Case I and Assessment
159(2)
7.5.4 Results of Case II and Assessment
161(6)
7.6 Conclusions
167(1)
7.7 Notes
167(2)
A Appendix for
Chapter 2
169(4)
B Appendix for
Chapter 3: Part 1
173(2)
C Appendix for
Chapter 3: Part 2
175(4)
D Appendix for
Chapter 3: Part 3
179(4)
E Appendix for
Chapter 4
183(2)
E.1 Experimental Parameters
183(2)
E.1.1 Physical Parameters
183(1)
E.1.2 Gains
183(2)
Bibliography 185
Xiang Yu is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include safety control of aerospace engineering systems, guidance, navigation, and control of unmanned aerial vehicles.

Lei Guo, appointed as "Chang Jiang Scholar Chair Professor", is a Professor with the School of Automation Science and Electrical Engineering, Beihang University. His research interests include anti-disturbance control and filtering, stochastic control, and fault detection with their applications to aerospace systems.

Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University. His research interests include fault diagnosis and fault-tolerant control, cooperative guidance, navigation and control (GNC) of unmanned aerial/space/ground/surface vehicles.

Jin Jiang is a Professor in the Department of Electrical & Computer Engineering, Western University, London, Ontario, Canada. His research interests include fault-tolerant control of safety-critical systems, advanced control of power plants containing non-traditional energy resources, and instrumentation and control for nuclear power plants.