飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制

To improve the control accuracy of permanent magnet synchronous machine in the flywheel energy storage system（FESS），an improved model predictive control strategy is proposed. Firstly，by alternately evaluating the cost functions of torque and flux，the weighting factor is eliminated and there is no need to determine the priority of control objectives in this proposed method. The proposed method effectively balances the control performance of torque and flux. Subsequently，to reduce the torque and flux fluctuations of the FESS，a double-vector synthesis method is designed and the duty cycle calculation process is simplified. In addition，to improve the parameter robustness of the system，the least squares method is used to identify the machine parameters and update the controller parameters in real time. Finally，the feasibility and effectiveness of the proposed control strategy in FESS charging and discharging conditions are experimentally verified.