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Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems

Qingsong Xu, Kok Kiong Tan

 

Verlag Springer-Verlag, 2015

ISBN 9783319216232 , 266 Seiten

Format PDF, OL

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96,29 EUR


 

Series Editors' Foreword

7

Preface

9

Contents

13

Abbreviations

19

1 Introduction

21

1.1 Micro-/Nano-positioning Technique

21

1.2 Actuators and Sensors

22

1.3 Piezoelectric Nonlinearity

24

1.4 Feedforward Control Based on Hysteresis Models

25

1.4.1 Conventional Hysteresis Model

26

1.4.2 Intelligent Hysteresis Model

28

1.4.3 Feedforward Plus Feedback Control

28

1.5 Robust Feedback Control

29

1.5.1 Sliding-Mode Control

30

1.5.2 Model Predictive Control

31

1.5.3 Model-Reference Adaptive Control

32

1.5.4 Other Control Strategies

33

1.6 Position/Force Control in Micromanipulation

33

1.6.1 Hybrid Control

34

1.6.2 Impedance Control

34

1.6.3 Switching Control

35

1.7 Book Summary

36

References

36

Part I Hysteresis-Model-Based FeedforwardControl

41

2 Feedforward Control Based on Inverse Hysteresis Models

42

2.1 Introduction

42

2.2 System Description and Hysteresis Characterization

43

2.2.1 Experimental Setup

43

2.2.2 Hysteresis Characterization

44

2.3 Hysteresis Modeling

47

2.3.1 Hysteresis Modeling with the Bouc--Wen Model

47

2.3.2 Hysteresis Modeling with the MPI Model

48

2.3.3 Hysteresis Modeling with the LSSVM

51

2.4 Experimental Studies

55

2.4.1 Bouc--Wen Model Results

55

2.4.2 MPI Model Results

56

2.4.3 LSSVM Model Results

59

2.4.4 Model Capability Comparison

61

2.4.5 Generalization Study

63

2.5 Controller Design and Verification

66

2.5.1 Feedforward Controller Design

66

2.5.2 Feedforward Plus Feedback Controller Design

68

2.5.3 Controller Verification

68

2.6 Chapter Summary

73

References

73

3 Feedforward Control Without Modeling Inverse Hysteresis

75

3.1 Introduction

75

3.2 Dynamics Modeling of Hysteretic System

76

3.2.1 Dynamics Modeling with Bouc--Wen Hysteresis

76

3.2.2 Dynamics Modeling with Intelligent Hysteresis Model

77

3.3 Hysteresis Modeling Using LSSVM

78

3.3.1 Regression Model Establishment

78

3.3.2 LSSVM Modeling

78

3.4 Experimental Studies on Hysteresis Identification

80

3.4.1 Experimental Setup

80

3.4.2 Dynamics Model Identification

81

3.4.3 Bouc--Wen Model Results

82

3.4.4 LSSVM Model Results

85

3.5 Experimental Studies on Hysteresis Compensation

89

3.5.1 Feedforward Compensation

89

3.5.2 Feedforward Plus Feedback Control

91

3.6 Chapter Summary

92

References

93

Part II Hysteresis-Model-Free,State-Obser ver-Based Feedback Control

94

4 Model Predictive Discrete-Time Sliding-Mode Control

95

4.1 Introduction

95

4.2 Problem Formulation

97

4.2.1 Dynamics Modeling of a Nanopositioning System

97

4.2.2 Sliding-Mode Controller Design

99

4.2.3 Control Gain Design

101

4.3 DTSMC Design

102

4.3.1 Controller Design and Analysis

102

4.3.2 Tracking Error Bound Analysis

104

4.4 MPDTSMC Design

105

4.4.1 MPDTSMC Controller Design

105

4.4.2 Stability Analysis

107

4.4.3 State Observer Design

108

4.4.4 Tracking and Estimation Error Bound Analysis

109

4.5 Experimental Investigation

110

4.5.1 Experimental Setup

110

4.5.2 Hysteresis Characterization

110

4.5.3 Plant Model Identification

111

4.5.4 Controller Parameter Design

112

4.5.5 Simulation Studies

113

4.5.6 Experimental Testing Results

115

4.5.7 Discussion on System Performance

118

4.6 Chapter Summary

119

References

119

5 Model Predictive Output Integral Discrete-Time Sliding-Mode Control

121

5.1 Introduction

121

5.2 Problem Formulation

122

5.3 MPOIDSMC Design

123

5.3.1 OIDSMC Controller Design

123

5.3.2 MPOIDSMC Controller Design

125

5.4 Experimental Investigations

130

5.4.1 Experimental Setup

130

5.4.2 Plant Model Identification

131

5.4.3 Controller Parameter Design

132

5.4.4 Experimental Studies

134

5.4.5 Discussion on Controller Performance

137

5.5 Chapter Summary

138

References

138

Part III Hysteresis-Model-Free,State-Observer-Free Feedback Control

140

6 Digital Sliding-Mode Control of Second-Order Systems

141

6.1 Introduction

141

6.2 Dynamics Model and Problem Formulation

142

6.3 DSMC Design

144

6.4 Experimental Studies

147

6.4.1 Experimental Setup

147

6.4.2 Plant Model Identification

148

6.4.3 Experimental Results

149

6.4.4 Discussion

159

6.5 Chapter Summary

159

References

160

7 Digital Sliding-Mode Control of High-Order Systems

161

7.1 Introduction

161

7.2 Problem Formulation

162

7.2.1 System Modeling

162

7.2.2 Disturbance Estimation

164

7.3 IODSMC Design

165

7.3.1 Sliding Function Definition

165

7.3.2 Design of IODSMC

166

7.3.3 Robust IODSMC Design

168

7.4 Experimental Setup and Controller Setup

170

7.4.1 Experimental Setup

170

7.4.2 Plant Model Identification

171

7.4.3 Controller Parameter Design

172

7.5 Experimental Results and Discussion

173

7.5.1 Set-Point Positioning Results

173

7.5.2 Sinusoidal Positioning Results

173

7.5.3 Bandwidth Testing Results

175

7.5.4 Robustness Testing Results

176

7.5.5 Further Discussion

178

7.6 Chapter Summary

178

References

179

8 Digital Sliding-Mode Prediction Control

180

8.1 Introduction

180

8.2 Problem Formulation

181

8.2.1 System Modeling

181

8.2.2 Disturbance Estimation

182

8.3 DSMC Design

182

8.3.1 Sliding Function Definition

183

8.3.2 Design of DSMC

183

8.3.3 Error Bound Analysis

185

8.4 DSMPC Design

186

8.4.1 DSMPC Design

186

8.4.2 Stability Analysis

188

8.4.3 Error Bound Analysis

190

8.5 Experimental Studies and Discussion

190

8.5.1 Experimental Setup

190

8.5.2 Plant Model Identification

191

8.5.3 Controller Parameter Design

192

8.5.4 Experimental Studies

192

8.5.5 Further Discussion

196

8.6 Chapter Summary

197

References

197

9 Model-Reference Adaptive Control with Perturbation Estimation

199

9.1 Introduction

199

9.2 Dynamics Modeling and Perturbation Estimation

200

9.2.1 Dynamics Modeling

200

9.2.2 Perturbation Estimation

201

9.3 MRACPE Control Design

202

9.3.1 MRACPE Controller Design

202

9.3.2 Dead-Zone Modification of Adaptive Laws

205

9.3.3 Overview of Control Scheme

205

9.4 Experimental Setup and Controller Setup

206

9.4.1 Experimental Setup

206

9.4.2 Statics Testing and Dynamics Model Identification

208

9.4.3 Controller Setup

209

9.5 Experimental Results and Discussion

210

9.5.1 Set-Point Positioning Testing

210

9.5.2 Sinusoidal Positioning Testing

212

9.5.3 Control Bandwidth Testing

212

9.5.4 Discussion

214

9.6 Chapter Summary

216

References

217

Part IV Applications to Micromanipulation

218

10 Adaptive Impedance Control of Piezoelectric Microgripper

219

10.1 Introduction

219

10.2 Problem Formulation

221

10.2.1 Dynamics Modeling and Perturbation Estimation

222

10.2.2 Impedance Control Problem

223

10.3 ADSMGIC Scheme Design

224

10.3.1 Sliding Function Definition

224

10.3.2 ADSMGIC Design

225

10.3.3 Stability Analysis

226

10.3.4 Evaluation of Steady-State Errors

228

10.4 Experimental Setup and Controller Setup

229

10.4.1 Experimental Setup

229

10.4.2 Force Observer Design

230

10.4.3 Controller Setup

232

10.5 Experimental Results and Discussion

234

10.5.1 Interaction Control Results

234

10.5.2 Discussion on Control Performance

239

10.6 Chapter Summary

240

References

240

11 Position/Force Switching Control of a Miniature Gripper

243

11.1 Introduction

243

11.2 Experimental Setup and Calibration

244

11.2.1 Working Principle of the Gripper

244

11.2.2 Experimental Setup

246

11.2.3 Calibration of Position and Force Sensors

247

11.2.4 Gripping Range Testing

249

11.2.5 Frequency Response Testing

250

11.3 Position/Force Switching Control Scheme Design

251

11.3.1 Event-Based Switching Control Framework

251

11.3.2 Incremental DSMC Position Controller

252

11.3.3 Incremental PID Force Controller

255

11.3.4 Switching Criterion

255

11.4 Experimental Investigations and Discussion

256

11.4.1 Controller Setup

256

11.4.2 Position/Force Switching Control Results

257

11.4.3 Further Discussion

259

11.5 Chapter Summary

262

References

262

Index

264