Research On Control Strategy Of Permanent Magnet Synchronous Motor Based On SMC And DPCC

Permanent magnet synchronous motor(PMSM)is widely used in many fields with its unique performance advantages.The PMSM will be affected by factors such as load mutation or parameter change when its working.Therefore,traditional control algorithms may not be able to meet the control performance requirements.In order to make PMSM maintain control accuracy and response speed when it is subjected to external disturbance and parameter changes,this paper takes disturbance suppression and parameter changes as the research content,and combin es sliding mode control and model predictive control to apply to PMSM control system.Firstly,the structure,principle and common control method of PMSM are introduced,and the mathematical model of PMSM is established.Secondly,based on the characteristics of strong disturbance rejection and fast response of sliding mode controller,the combination of sliding mode control and low-pass filter is applied to the speed loop controller to improve the robustness and response speed of the system.The low-pass filter can reduce chattering and reduce the influence of output fluctuation of speed loop on current loop.At the same time,the Luenberger observer is added to estimate and compensate the load disturbance,and the u se of the observer can improve the disturbance immunity of the system and reduce the chattering existing in the sliding mode control;Applying the current predictive control algorithm with fast response speed and high control accuracy to the current loop controller,aiming at the problem that the current predictive control algorithm is highly dependent on the motor parameters,and the influence of different motor parameters on the control performance is analyzed in detail.Aiming at the problem that the current predictive control algorithm is highly dependent on the motor parameters,the influence of different motor parameters on the control performance is analyzed in detail.On this basis,a nonlinear observer is established to compensate for the influence of parameter changes.At the same time,the control strategy is simulated and verified by MATLAB/SIMULINK.The results show that the control strategy has good anti-disturbance performance under the condition of sudden change of load torque and parameter changes,and the response speed and control accuracy are better than the traditional control algorithm.Finally,in order to further verify the reliability of the control strategy,the designed method is tested on the PMSM experimental platform.The results show that the control strategy combining sliding mode control and predictive control has good dynamic performance and steady-state performance.