| A State Detection Method of Induction Motor Based on PSO-BS-SMO
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| Guanglin Zhong 1, Wenxin Yu 1, Junnian Wang 2 |
1School of Information and Electrical Engineering , Hunan University of Science and Technology
2School of Physics and Electronics , Hunan University of Science and Technology |
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| ABSTRACT |
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In order to improve the performance of sliding mode observer in detecting the state of induction motor, a state detection
method based on particle swarm optimization (PSO)-backstepping (BS)-sliding mode observer (SMO) is proposed in this
paper. In this method, the controller is constructed and the parameters of the control rate are optimized, so that the tracking
accuracy and robustness of the new observer are improved relative to conventional observer, exponential observer, PI and
PID. Firstly, the state equation of the induction motor under stator and rotor winding fault and stator current sensor fault is
established. Secondly, the new sliding mode observer is designed using the backstepping method based on the new reaching
law. Then, the new fi tness function and PSO is used to optimize the parameters of the new sliding mode observer. Finally,
the simulation comparison experiment of stator current state detection is carried out under the simulated fault condition of
induction motor. The feasibility of the method is verifi ed by comparing the state tracking situation and the state detection
error. The comparative experimental results show that the method has less jitter, stronger robustness, and higher state tracking
accuracy when detecting stator current states under diff erent faults. |
| Key Words:
Backstepping · PSO · Sliding mode observer · State detection · Induction motor
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Corresponding Author.
Wenxin Yu , Email. 
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