Neural Network-based Sliding Mode Control for Permanent Magnet Synchronous Motor

In this paper, a scheme of designing neural network-based sliding mode controller is proposed for dealing with the chattering phenomenon existing in conventional sliding mode controller because of its discrete control law. Firstly, the sliding mode control law is designed using equivalent control technology. Then the neural network and adaptive control are uesd to delete the chattering of sliding mode controller. The stability of control system is analyzed by Lyapunov sta- bility theory finally. Simulations and experiments demonstrate that the proposed neural network-based sliding mode con- troller not only achieves better control performance than the conventional sliding mode control system, but also is robust with regard to system parameter variation and external disturbance.