基于模型预测控制的异步电机弱磁控制新方法

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Abstract Model predictive control(MPC) is a kind of novel control algorithm which is based on the model of the controlled system. This method can predict the future state of the system, and the optimal control variables can be obtained by the rolling optimization, and it has excellent performances and with hard robustness. In the traditional flux weakening control method based on the voltage closed-loop control strategy, the performances of the system are usually affected by the coefficients of the PI regulators and the accuracy of motor parameters. A novel flux weakening method based on MPC is proposed in this paper to solve these problems. The implementation process of the proposed method is described in detail. By optimization this method is suitable for the real-time control of motor. The experimental results prove that the MPC method has a quick response and with hard robustness. MPC method have better performances than PI method against load disturbance, and it's very suitable for the induction motor flux-weakening control in high-performance occasions.

Key words： Induction motor flux weakening model predictive control rolling optimization robustness

Received: 10 November 2013 Published: 17 June 2014

PACS:

TM351

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	Articles by authors
	Zheng Zedong
	Chen Ningning
	Li Yongdong

Cite this article:

Zheng Zedong,Chen Ningning,Li Yongdong. A Novel Flux Weakening Method for Induction Motors Based on Model Predictive Control[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 33-40.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I3/33

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