ESO-based PMSM Modelless Fast Supercoil Sliding Mode Prediction Control
In order to improve the robustness of surface permanent magnet synchronous motor(SPMSM) under parameter change and external disturbance,a model-free fast superhelical sliding mode predictive control method based on extended state observer is proposed.First,a new hyperlocal model of the SPMSM parameter perturbation is established.Secondly,a model-free super-helical sliding-mode feedback controller for the rotational speed loop is designed using the improved super-helical algorithm as the auxiliary control rate,and the unknown part in the super-local model is estimated by using the compound expanded disturbance observer,stability of controllers and observers is proved by the Lyapunov stability theory.The deadbeat current predictive control strategy is applied to the current loop,combined with the extended state observer to further estimate the disturbance and perform feedforward compensation,so that the current loop has better dynamic response and smaller harmonic components.The simulation results show that the proposed method can effectively improve the response speed of the system,improve the transient and steady state performance of the SPMSM under the occurrence of parameter drift and external disturbance,reduce the current total harmonic distortion rate,and improve the system robustness and anti-interference performance.
Permanent magnet synchronous motormodel-free supercoil sliding mode controlextended state observerdeadbeat predictive current control
万方数据
维普
