Research On Adaptive Control Of Permanent Magnet Synchronous Motor Based On Sliding Mode Algorithm

In recent years,with the improvement of the performance of permanent magnet materials and the reduction of its costs,permanent magnet synchronous motor using permanent magnet materials has been widely used in electric vehicles,new energy development,drones and other fields.Since the permanent magnet synchronous motor has the advantages of simple structure,high working efficiency and fast response,it will be popularized in more fields.The operation of the motor requires the cooperation of the control algorithm.The performance of the control algorithm will directly affect the operation effect of the entire system.Therefore,the research on the high-performance control algorithm of the permanent magnet synchronous motor is of great significance.This paper focuses on two aspects of the permanent magnet synchronous motor control algorithm: one is the sensorless algorithm,and the other is the speed control algorithm.The sensorless algorithm can obtain the motor rotor position without installing additional mechanical sensors,thereby reducing the cost of the system and increasing the stability of the system.In high-performance applications,the speed control algorithm not only needs to track the target speed quickly and accurately,but also needs a strong anti-interference ability.The algorithm still has a lot of room for improvement.Because the permanent magnet synchronous motor system is a typical nonlinear system,this paper proposes an adaptive control method based on the sliding mode algorithm which is widely used in the nonlinear system.The method combines the radial basis function network to improve the performance of the sensorless algorithm and the speed control algorithm.The main work of this paper is as follows:(1)In terms of sensorless,an improved adaptive sliding mode observer is proposed.Compared with the traditional sliding mode observer,a radial basis function network is introduced to predict the back electromotive force of the motor to solve the chattering problem that affects the rotor position acquisition in the traditional sliding mode observer.The Lyapunov function is select to verify the stability of the method in this paper.This paper compares the operation results of the traditional sliding mode observer.Through Matlab/Simulink simulations and experiments in the actual environment,the effect of the improved algorithm on chattering suppression is proved.(2)In terms of speed control,a hybrid adaptive integral sliding mode controller is proposed.Compared with the traditional sliding mode control,it mainly achieves three improvements: the sliding mode switching gain adopts a linear change strategy,a radial basis function network predicts external interference,and the arrival phase and sliding phase of the control process are controlled separately.The improved algorithm is verified from theory,simulation and experiment respectively.The proportional integral control,linear integral sliding mode control and extended state observer sliding mode control are compared.Experimental results prove that the algorithm in this paper improves the control performance.