Research On Deadbeat Vector Control Of Permanent Magnet Synchronous Motor

Vector control strategy is a control strategy of permanent magnet synchronous motor(PMSM),which is widely studied and applied at home and abroad.In this paper,the deadbeat control of PMSM based on neural sliding mode observer is designed,the deadbeat predictive control algorithm is used to design the controller,and the sliding mode control combined with neural network algorithm is used to design the observer.it effectively solves the problems of high overshoot,slow response and strong buffeting of traditional PMSM vector control strategy.In this paper,the proposed algorithm is simulated,and the effectiveness of the method is proved.First of all,by analyzing the current dynamic equation of three-phase permanent magnet synchronous motor,the current prediction equation is constructed,and the deadbeat controller is designed.The dynamic and static performance of PMSM under deadbeat control is analyzed and studied by simulation.The simulation results show that the deadbeat control can improve the response speed of the motor and reduce the overshoot.Secondly,this paper proposes a sliding mode observer combined with radial basis function neural network algorithm.On the basis of the traditional sliding mode observer,the radial basis function neural network is used to compensate the output of the PI controller.At the same time,the saturation function sat(s)is used instead of the switching function sign(s),and the exponential reaching law is adopted to improve the observation accuracy,and then improve the dynamic and static performance of the motor.The simulation results show that the sliding mode observer designed in this paper can achieve fast and accurate tracking.