一种优化的双电机主-从模型转矩预测控制策略

doi:10.19595/j.cnki.1000-6753.tces.180978

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Abstract

Aiming at the torque rippling and torque difference in the direct torque control (DTC) for the master-slave structure of the rotor-coaxial dual motor, this paper provides an optimized master-slave model predictive direct torque control (MS-MPDTC) scheme for the dual motor. This scheme introduces the model predictive control into the master-slave control system and designs a feedback loop of the predicted current to fix the master-slave predicted torque for torque difference reduction in the steady state. It also adds a feedback weight varied with the rotating speed to suppress the change of torque change difference before and after the dynamic stepping. Meanwhile, to compensate the delay generated by the system itself, a two-step prediction is implemented based on the one-step prediction for the dual motor, which further improves the prediction precision. The simulation and experimental results show that, the new torque predictive control effectively suppresses the torque rippling and master-slave torque differences in both steady and dynamic states for the dual motor, which improves the system performance.

Key words： Dual motor master-slave system model predictive direct torque control current feedback torque difference

Received: 07 June 2018 Published: 29 December 2018

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TM343

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	Xiao Xiong
	Wang Jianxiang
	Zhang Yongjun
	Zhang Fei
	Hao Chunhui

Cite this article:

Xiao Xiong,Wang Jianxiang,Zhang Yongjun等. An Optimized Master-Slave Model Predictive Direct Torque Control Scheme for the Dual Motor[J]. Transactions of China Electrotechnical Society, 2018, 33(24): 5720-5730.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180978 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I24/5720

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