Table of Contents
Acknowledgments v
Preface vii
1 Introduction 1
1.1 Overview of fuel cell 1
1.2 Classification of fuel cell 2
1.3 Characteristics of fuel cell 2
1.4 PEM fuel cell working principle 4
1.5 Characteristics of the PEM fuel cell 6
1.6 Research progress for the control method of the PEM fuel cell 6
1.7 Problems in the fuel cell control 8
References 9
2 Setup of the PEM fuel cell experiment platform 13
2.1 Overall architecture 13
2.2 Gas supply subsystem 13
2.3 Humidification subsystem 18
2.4 Power conditioning subsystem 20
2.5 Control subsystem 20
References 23
3 Modeling of the PEM fuel cell system 25
3.1 Stack voltage model 25
3.2 Cathode flow model 26
3.3 Anode flow model 28
3.4 DC/DC converter model 29
3.5 Simulink model 30
References 33
4 Control of PEM fuel cell without load current feedback 35
4.1 SPM-based ASFPC 35
4.1.1 Joint estimation of states and parameters based on SPM 35
4.1.2 SPM-based controller design without considering noise estimation information 40
4.1.3 SPM-based controller design considering noise estimation information 43
4.2 Real-time simplified VDFLC 46
4.2.1 Control structure 46
4.2.2 Real-time fuzzy inference strategy 46
4.3 Simulations and experiments 51
4.3.1 SPM-based ASFPC 51
4.3.2 Real-time simplified variable-domain fuzzy control 59
4.3.3 Comparison of two control methods 68
4.4 Source codes 71
4.4.1 Joint estimation of parameters and states without considering noise information (M file) 71
4.4.2 Joint estimation of parameters and states considering noise information (M file & C-Sfuntion) 72
4.4.3 ASFPC algorithm based on SPM 83
4.4.4 Real-time simplified VDFLC algorithm 95
References 108
5 Control of PEM fuel cell with load current feedback 111
5.1 Control approach for underactuated systems based on fuzzy reasoning and random search optimization 111
5.1.1 Dynamically connected fuzzy inference model based on the single-input rule modules 111
5.1.2 Random search optimization 113
5.2 Controller design for PEM fuel cell flow underactuated system 118
5.2.1 Control strategy 118
5.2.2 Fuzzy controller design 118
5.3 Output tracking control 122
5.3.1 Fuzzy cluster modeling of fuel cell 122
5.3.2 Sliding mode output tracking control 125
5.3.3 Steady-state compensation 126
5.4 Simulations and experiments 127
5.4.1 Fuzzy control based on SIRMs dynamically connected fuzzy inference model and the random search 127
5.4.2 Output tracking control 131
5.5 Source codes 138
5.5.1 SIRMs-based dynamically connected fuzzy inference control (Fixed ID) 138
5.5.2 SIRMs-based dynamically connected fuzzy inference control (DID, Version 1) 151
5.5.3 SIRMs-based dynamically connected fuzzy inference control (DID, Version 2) 173
5.5.4 Output tracking control 194
References 208
6 Conclusion and future work 209
6.1 Conclusion 209
6.2 Future work 210
Index 213
