POLITECHNIKA WARSZAWSKA

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7. Simulation and experimental results Fig. 7.21. The rms%=(e est,rms /ω m )*100% as the function of the mechanical speed in steady state. Fig. 7.22. The jeps%=(e est,jeps /ω m )*100% as the function of the mechanical speed in steady state. 157
7. Simulation and experimental results 7.4. Dynamic behaviour The simulation and experimental results obtained in dynamic state for the induction motor controlled via FOC are presented in Fig. 7.23-Fig. 7.40. The presented graphs, as in previous subsection, are divided into two parts. The first part of graphs (Fig. 7.23.-Fig. 7.31) corresponds to the system with measured speed, and the second part (Fig. 7.32-7.40) with the estimated speed, taken to the feedback and coordinate transformation. The speed step responses and speed reversals are presented in Fig. 7.23.-Fig. 7.26 and Fig. 7.32.-7.35. respectively. The response time of the system with estimator is only about 10% longer compare to this one with speed sensor. Besides, in Fig. 7.27. and Fig.7.36. the load torque step response is drawn. In these graphs reference and mechanical speed, rotor flux magnitude and electromagnetic torque are shown. In this case the speed error area is a little bit bigger in system with estimator. Note, that the bahaviour of the system in dynamic state and the results confirm the good behaviour of neural network speed estimator. The rest of graphs (Fig. 7.28-Fig. 7.31 and Fig. 7.37-Fig. 7.40) show the decoupling of the current controllers in x and y-axes Figure 7.23. Speed step response for the induction motor controlled via FOC with the encoder speed signal taken to feedback and transformation ( ω m = 0.0 → 0. 1). Experimental and simulation results: 1) reference speed, 2) mechanical speed, 3) rotor flux amplitude, 4) electromagnetic torque. 158
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POLITECHNIKA WARSZAWSKA WARSAW UNIV
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Contents 1. Introduction 4 2. Mathe
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1. Introduction 1. INTRODUCTION The
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1. Introduction In the author’s o
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2. Mathematical description of indu
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3. Basics of Artificial Neural Netw
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4. ANN based Current Controllers (C
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4. ANN based Current Controllers 4.
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4. ANN based Current Controllers Ta
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4. ANN based Current Controllers Th
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4. ANN based Current Controllers As
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4. ANN based Current Controllers Fi
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4. ANN based Current Controllers a)
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4. ANN based Current Controllers an
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5. Speed estimation of induction mo
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Page 169 and 170: 8. Conclusions 8. CONCLUSIONS The r
Page 171 and 172: References REFERENCES Books and Ove
Page 173 and 174: References [34] D. Schauder, and R.
Page 175 and 176: References [66] A. Tripathi and P.
Page 177 and 178: References [97] J. W. Kolar, H. Ert
Page 179 and 180: References [129] M. P. Kazmierkowsk
Page 181 and 182: A1. Description of the simulation p
Page 195 and 196: A2. Laboratory setup A2. Laboratory
Page 197 and 198: A2. Laboratory setup A2.3. dSpace D
Page 199 and 200: A2. Laboratory setup Offset calibra
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Page 203 and 204: A3. Motor parameters A3. MOTOR PARA
Page 205 and 206: A4. Notation - u s - stator voltage
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POLITECHNIKA WARSZAWSKA

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