基于模型预测控制的永磁同步电机改进自抗扰系统研究

Research on improved ADRC of PMSMsystem based on MPC

为了提高永磁同步电机(PMSM)调速系统的控制性能,提出了一种基于模型预测控制(MPC)的永磁同步电机改进自抗扰控制方法。首先,采用自抗扰控制器(ADRC)替换转速环中比例-积分(PI)控制器,并进一步的引入模糊控制算法整定控制器参数并简化控制模型;其次,设计电流环模型预测控制器,减少了定子电流的扰动,提高系统的控制精度;最后,通过模型参考自适应系统(MRAS)观测器估算转子位置和转速实现系统的无速度传感器运行。仿真结果表明:改进的ADRC相较于PI控制器以及常规ADRC更能满足PMSM系统的高性能控制要求,动态跟踪能力较好,鲁棒性较强。

In order to improve the control performance of permanent magnet synchronous motor(PMSM)speed control system,a composite strategy based on improved active disturbance rejection controller(ADRC)and model predictive control(MPC)is presented.Firstly,the ADRC controller is used to replace the proportion integration(PI)controller in the outer loop,and fuzzy control algorithm is further introduced to adjust the controller parameters to simplify the control model.Secondly,the model predictive control is used as the inner loop of the current,which reduced the stator current pulsation and improved the control precision of the system.Finally,the model reference adaptive system(MRAS)observer is used to estimate rotor position so that the system can operate with sensorless.Compared with PI controller and conventional ADRC,simulation results show that with better dynamic tracking capability and stronger robustness,the composite control strategy can meet the higher performance control requirements of PMSM system.