Accompanied by an online course on Fuzzy Control which is taught by the author. St
Table of Contents
Foreword xiii Preface to the Second Edition xv
Preface to the First Edition xvii
1Introduction 1
1.1 What Is Fuzzy Control? 1
1.2 Why Fuzzy Control? 2
1.3 Controller Design 3
1.4 Introductory Example: Stopping a Car 3
1.5 Nonlinear Control Systems 9
1.6 Summary 11
1.7 The Autopilot Simulator* 12
1.8 Notes and References* 13
2 Fuzzy Reasoning 17
2.1 Fuzzy Sets 17
2.2 Fuzzy Set Operations 25
2.3 Fuzzy If–Then Rules 33
2.4 Fuzzy Logic 36
2.5 Summary 43
2.6 Theoretical Fuzzy Logic* 43
2.7 Notes and References* 53
3 Fuzzy Control 55
3.1 The Rule Based Controller 56
3.2 The Sugeno Controller 61
3.3 Autopilot Example: Four Rules 64
3.4 Table Based Controller 65
3.5 Linear Fuzzy Controller 68
3.6 Summary 70
3.7 Other Controller Components* 70
3.8 Other Rule Based Controllers* 77
3.9 Analytical Simplification of the Inference* 80
3.10 Notes and References* 84
4 Linear Fuzzy PID Control 85
4.1 Fuzzy P Controller 87
4.2 Fuzzy PD Controller 89
4.3 Fuzzy PD+I Controller 90
4.4 Fuzzy Incremental Controller 92
4.5 Tuning 94
4.6 Simulation Example: Third-Order Process 99
4.7 Autopilot Example: Stable Equilibrium 101
4.8 Summary 103
4.9 Derivative Spikes and Integrator Windup* 104
4.10 PID Loop Shaping* 106
4.11 Notes and References* 109
5 Nonlinear Fuzzy PID Control 111
5.1 Nonlinear Components 111
5.2 Phase Plot 113
5.3 Four Standard Control Surfaces 115
5.4 Fine-Tuning 118
5.5 Example: Unstable Frictionless Vehicle 121
5.6 Example: Nonlinear Valve Compensator 124
5.7 Example: Motor Actuator with Limits 127
5.8 Autopilot Example: Regulating a Mass Load 127
5.9 Summary 130
5.10 Phase Plane Analysis* 130
5.11 Geometric Interpretation of the PD Controller* 134
5.12 Notes and References* 143
6 The Self-Organizing Controller 145
6.1 Model Reference Adaptive Systems 145
6.2 The Original SOC 147
6.3 A Modified SOC 150
6.4 Example with a Long Deadtime 151
6.5 Tuning and Time Lock 155
6.6 Summary 157
6.7 Example: Adaptive Control of a First-Order Process* 157
6.8 Analytical Derivation of the SOC Adaptation Law* 161
6.9 Notes and References* 169
7 Performance and Relative Stability 171
7.1 Reference Model 172
7.2 Performance Measures 177
7.3 PID Tuning from Performance Specifications 180
7.4 Gain Margin and Delay Margin 185
7.5 Test of Four Difficult Processes 186
7.6 The Nyquist Criterion for Stability 188
7.7 Relative Stability of the Standard Control Surfaces 191
7.8 Summary 193
7.9 Describing Functions* 193
7.10 Frequency Responses of the FPD and FPD+I Controllers* 198
7.11 Analytical Derivation of Describing Functions for the Standard Surfaces* 206
7.12 Notes and References* 216
8 Fuzzy Gain Scheduling Control 217
8.1 Point Designs and Interpolation 218
8.2 Fuzzy Gain Scheduling 219
8.3 Fuzzy Compensator Design 221
8.4 Autopilot Example: Stopping on a Hilltop 226
8.5 Summary 228
8.6 Case Study: the FLS Controller* 229
8.7 Notes and References* 235
9 Fuzzy Models 237
9.1 Basis Function Architecture 238
9.2 Handmade Models 240
9.3 Machine-Made Models 249
9.4 Cluster Analysis 253
9.5 Training and Testing 263
9.6 Summary 266
9.7 Neuro-Fuzzy Models* 267
9.8 Notes and References* 275
10 Demonstration Examples 277
10.1 Hot Water Heater 277
10.2 Temperature Control of a Tank Reactor 282
10.3 Idle Speed Control of a Car Engine 287
10.4 Balancing a Ball on a Cart 292
10.5 Dynamic Model of a First-Order Process with a Nonlinearity 301
10.6 Summary 307
10.7 Further State-Space Analysis of the Cart-Ball System* 307
10.8 Notes and References* 314
References 315
Index 319
