摘要
研究了一种基于模型预测控制的永磁同步电机控制系统的改进自抗扰控制策略。以模型预测控制作为电流内环,减小了定子电流脉动,提高系统控制精度。自抗扰中ESO的带宽往往会受到噪声的限制,导致ESO通常不能实时跟踪总的扰动。为了减少噪声的影响,将卡尔曼观测器引入自抗扰控制器,来提高ESO的性能,同时估计负载转矩的扰动量。将卡尔曼观测器与ESO相结合,有效地提高自抗扰控制器的控制性能。仿真及实验结果验证了该方法的有效性。
An improved active disturbance rejection controller(ADRC)based on MPC for permanent magnet synchronous motor(PMSM)speed control system was presented.The model predictive control was used as the inner loop of the current,which reduced the stator current pulsation and improved the control precision of the system.The bandwidth of the ESO is usually limited by the existence of noise in the ADRC controller,therefore,the ESO can not track the total disturbance in real time.In order to reduce the effects of noise,a Kalman observer was designed to improve the performance of the ESO,which can estimate the load torque disturbance simultaneously.Combining the Kalman observer with the ESO,the performance of the ADRC controller can be greatly improved.The simulation and experiment results show the effectiveness of the method.
作者
陈凌翔
李月超
CHEN Ling-xiang;LI Yue-chao(Xinxiang Vocational and Technical College,Xinxiang 453000,China)
出处
《微特电机》
2018年第10期70-74,共5页
Small & Special Electrical Machines
关键词
永磁同步电机
自抗扰控制
滤波
响应速度
模型预测控制
permanent magnet synchronous motor(PMSM)
improved active disturbance rejection control(ADRC)
wave filtering
response speed
model prediction control(MPC)
