永磁同步电机有限集模型预测速度控制策略OA

To improve the dynamic response and robustness of finite control set model predictive control(FCS-MPC)for permanent magnet synchronous motors(PMSMs),this paper proposes an enhanced three-vector finite control set model predictive speed control(FCS-MPSC)strategy.The cost function of traditional dual-loop FCS-MPC is optimized to track the error between the reference and basic voltage vectors,reducing computational load,while a speed deviation term enhances dynamic response.To address unknown load torque,an extended Kal-man filter(EKF)estimates the load torque,and a model reference adaptive system(MRAS)estimates the moment of inertia,enabling real-time EKF correction and improving robustness.Voltage vector sectors are determined by angle,with different regions outputting varying numbers of vectors for optimized control.Simulations and experi-ments show that,compared to dual-loop FCS-MPC,the proposed strategy reduces d-axis current ripple by 11.7%and q-axis current ripple by 19.03%,shortens the speed rise time by 21.82%,and decreases the maximum speed fluctuation by 6.436 r/min.The results demonstrate that the proposed FCS-MPSC strategy effectively suppresses current ripple and improves the dynamic response of the system,while maintaining strong robustness and stability under parameter mismatch conditions,providing an effective ap其proach for high performance predictive control of permanent magnet synchronous motors.