Advanced Control Engineering (eBook)

Roland Burns (Autor)

eBook Download: PDF

2001 | 1. Auflage
464 Seiten
Elsevier Science (Verlag)
978-0-08-049878-2 (ISBN)

Infos

Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robust and intelligent control, including neural networks and genetic algorithms.

With examples from aeronautical, marine and many other types of engineering, Roland Burns draws on his extensive teaching and practical experience presents the subject in an easily understood and applied manner. Control Engineering is a core subject in most technical areas.

Problems in each chapter, numerous illustrations and free Matlab files on the accompanying website are brought together to provide a valuable resource for the engineering student and lecturer alike.



Complete Course in Control Engineering
Real life case studies
Numerous problems

Inhalt

Cover 1
Contents 6
Preface and acknowledgements 13
Chapter 1. Introduction to Control Engineering 16
1.1 Historical review 16
1.2 Control system fundamentals 18
1.3 Examples of control systems 21
1.4 Summary 25
Chapter 2. System Modelling 28
2.1 Mathematical models 28
2.2 Simple mathematical model of a motor vehicle 28
2.3 More complex mathematical models 29
2.4 Mathematical models of mechanical systems 30
2.5 Mathematical models of electrical systems 36
2.6 Mathematical models of thermal systems 40
2.7 Mathematical models of fluid systems 42
2.8 Further problems 46
Chapter 3. Time Domain Analysis 50
3.1 Introduction 50
3.2 Laplace transforms 51
3.3 Transfer functions 54
3.4 Common time domain input functions 56
3.5 Time domain response of first-order systems 58
3.6 Time domain response of second-order systems 64
3.7 Step response analysis and performance specification 70
3.8 Response of higher-order systems 73
3.9 Further problems 75
Chapter 4. Closed-Loop Control Systems 78
4.1 Closed-loop transfer function 78
4.2 Block diagram reduction 79
4.3 Systems with multiple inputs 84
4.4 Transfer functions for system elements 86
4.5 Controllers for closed-loop systems 96
4.6 Case study examples 107
4.7 Further problems 119
Chapter 5. Classical Design in the s-Plane 125
5.1 Stability of dynamic systems 125
5.2 The Routh–Hurwitz stability criterion 127
5.3 Root-locus analysis 133
5.4 Design in the s-plane 147
5.5 Further problems 156
Chapter 6. Classical Design in the Frequency Domain 160
6.1 Frequency domain analysis 160
6.2 The complex frequency approach 162
6.3 The Bode diagram 166
6.4 Stability in the frequency domain 176
6.5 Relationship between open-loop and closed-loop frequency response 187
6.6 Compensator design in the frequency domain 193
6.7 Relationship between frequency response and time response for closed-loop systems 206
6.8 Further problems 208
Chapter 7. Digital Control System Design 213
7.1 Microprocessor control 213
7.2 Shannon's sampling theorem 215
7.3 Ideal sampling 216
7.4 The z-transform 217
7.5 Digital control systems 225
7.6 Stability in the z-plane 228
7.7 Digital compensator design 235
7.8 Further problems 244
Chapter 8. State-Space Methods for Control System Design 247
8.1 The state-space-approach 247
8.2 Solution of the state vector differential equation 254
8.3 Discrete-time solution of the state vector differential equation 259
8.4 Control of multivariable systems 263
8.5 Further problems 281
Chapter 9. Optimal and Robust Control System Design 287
9.1 Review of optimal control 287
9.2 The Linear Quadratic Regulator 289
9.3 The linear quadratic tracking problem 295
9.4 The Kalman filter 299
9.5 Linear Quadratic Gaussian control system design 303
9.6 Robust control 314
9.7 H2- and H- optimal control 320
9.8 Robust stability and robust performance 321
9.9 Multivariable robust control 329
9.10 Further problems 336
Chapter 10. Intelligent Control System Design 340
10.1 Intelligent control systems 340
10.2 Fuzzy logic control systems 341
10.3 Neural network control systems 362
10.4 Genetic algorithms and their application to control system design 380
10.5 Further problems 388
Appendix 1. Control System Design Using Matlab 395
Appendix 2. Matrix Algebra 439
References and further reading 443
Index 448

Produkt-Details

• Erscheint lt. Verlag: 5.10.2001
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie ► Technische Chemie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Technik ► Umwelttechnik / Biotechnologie
• ISBN-10: 0-08-049878-7 / 0080498787
• ISBN-13: 978-0-08-049878-2 / 9780080498782