Improved Integral Sliding Mode Control For Permanent Magnet Synchronous Motor
Considering external disturbances and change of interior parameters of permanent magnet synchronous motor(PMSM), an improved integral sliding mode controller is designed. RBF neural network is used to adjust the switching gain of sliding mode control. In order to reduce the chattering more effectively, the boundary layer thickness of sliding mode is adjusted by a fuzzy self-adaptive control. The simulation results show that the improved integral sliding mode control reduces the chattering effectively and has better tracking precision and stronger robustness to the variable parameters and the disturbance.
permanent magnet synchronous motor; sliding mode control; RBF neural network;fuzzy self-adaptive
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