Deadbeat Predictive Current Control for Permanent Magnet Linear Synchronous Motor Based on Internal Model Disturbance Observer
Yin Zhonggang1,2, Bai Cong1, Du Chao1, Liu Jing1
1. Department of Electrical Engineering Xi’an University of Technology Xi’an 710048 China;;
2. State Key Lab of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China;
Aiming at the current error caused by parameters disturbance and model mismatch, a robust predictive current control (RPCC) with internal model disturbance observer (IMDO) is proposed to achieve high accurate current control of permanent magnet linear synchronous motor (PMLSM) drives. Firstly, a deadbeat current predictive control algorithm based on the mathematical model of permanent magnet synchronous linear motor is constructed, and the stability domain of the algorithm is obtained. Thereby, the control algorithm is stable within the error range of motor parameters. Secondly, the estimation system of the internal disturbance observer is estimated. The disturbance is introduced into the voltage equation with parametric perturbation to ensure that the observed state variables continuously approach the accurate system state variables, which provides real-time disturbance compensation for the traditional deadbeat current predictive control algorithm. The experimental results show that the proposed algorithm can achieve fast and errorless current tracking effect when parameter disturbance and model mismatch, and improve the robustness of the system.
尹忠刚, 白聪, 杜超, 刘静. 基于内模干扰观测器的永磁同步直线电机无差拍电流预测控制方法[J]. 电工技术学报, 2018, 33(24): 5741-5750.
Yin Zhonggang, Bai Cong, Du Chao, Liu Jing. Deadbeat Predictive Current Control for Permanent Magnet Linear Synchronous Motor Based on Internal Model Disturbance Observer. Transactions of China Electrotechnical Society, 2018, 33(24): 5741-5750.
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2018, Vol. 33 
