Research On Torque Ripple Suppression Strategy Of Direct Drive PMSM Based On Iterative Learning

PMSM is broadly used in multyple fields for instance industrial manufacture and everyday life on account of its many merits.Nonetheless,there are troubles with the inner structure of PMSM.And there are factors for instance the friction generated by the rotation of the rotor and the aperiodicity of the drive circuit.Will cause very huge torque pulsation during its operation.This contributes to mechanical vibration and high-frequency noise.At the same time,the PMSM control accuracy is reduced.Torque pulsation is more evident in PMSM with direct drive without a reducer.So as to better solve this problem,a speed controller is developed in this article.It combines a variety of control strategies.To facilitate and suppress torque pulsation generated during PMSM operation,and boost the perturbation suppression and control precision of the system.First of all,this article describes why PMSM torque ripple occurs.Build a digital model of PMSM in d-q system.Obtain the math connection between torque ripple,electricity,flux linkage and speed.Thus,the state equation will be built.Second,the ILC is used to suppress the periodic torque pulsation during the PMSM operation.Under the PI controller,the adaptive controller and ILC controller are grouped.Making an PI-AILC controller.To weaken the torque ripple given reason to aperiodicity perturbation as a prerequisite,strengthen the system’s resistance to perturbation.What’s more,using a theory called Lyapunov to demonstrate the system’s stability.Third,combine the ILC controller with the SMC controller.An ILC-SMC controller is made.So that suppress chattering,the tanh function is used to ameliorate the integral sliding mode law.On the basis of the older work,a adaptive controller is added.Then the robustness of the system has been correspondingly boosted.The ILCASMC controller is redesigned.Among them,the law of the adaptive is used to estimate the tallest bound of the perturbation of the system.Compensate for perturbation grounded on the estimated value.The stability of two systems with different control ways is proven.The numerical simulation results are given.