Coaxial Dual Motor with Master-Slave Structure Model-Predictive Direct Torque Control Speed Sensorless Control Strategy Based on Double Sliding Mode Estimation
Xiao Xiong1, Wang Haocheng1, Wu Yujuan1, Zhang Yongjun1, Zhou Yanli2, Li Jing3
1. National Engineering Research Center for Advanced Rolling Technology University of Science and Technology Beijing 100083 China; 2. Beijing Institute of Control Engineering Beijing 100080 China; 3. National Engineering Technology Research Center of Flat Rolling Equipment University of Science and Technology Beijing 100083 China
Abstract：A speed-sensorless model-predictive direct torque control (MPDTC) based on double sliding mode estimation is presented, which improves fault tolerance performance of coaxial dual motor with master-slave structure and provides fast and stable speed reference tracking. With focus on optimizing the dual-motor torque and steady-state equilibrium performance, the two-step feedback prediction is introduced to improve the dynamic performance of the system and reduce the torque discrepancy between master and slave motors. A dual-sliding mode estimator of using MPDTC is designed to obtain the speed and the position of both motors. A Sigmoid function with speed factor is adopted in dual-sliding mode estimator for chattering reduction. By comparing simulation results of several control methods, that conclude this control strategy can asymptotically attenuate the discrepancy between motors’ torques with presence of unknown torque disturbances and hence provides good torque balancing. Fast and stable speed reference tracking is obtained and is insensitive to loads and rotate speed change. Especially when the speed sensor fails, the control effect is good.
肖雄, 王浩丞, 武玉娟, 张勇军, 周艳丽, 李静. 基于双滑模估计的主从结构共轴双电机模型预测直接转矩控制无速度传感器控制策略[J]. 电工技术学报, 2021, 36(5): 1014-1026.
Xiao Xiong, Wang Haocheng, Wu Yujuan, Zhang Yongjun, Zhou Yanli, Li Jing. Coaxial Dual Motor with Master-Slave Structure Model-Predictive Direct Torque Control Speed Sensorless Control Strategy Based on Double Sliding Mode Estimation. Transactions of China Electrotechnical Society, 2021, 36(5): 1014-1026.
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2021, Vol. 36 
