一种应用于异步电机的基于Laguerre函数的模型预测控制电流调节器

doi:10.19595/j.cnki.1000-6753.tces.L70454

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Abstract As the traditional current regulator, the performance of synchronous PI is not ideal due to changes in motor parameters caused by complex work conditions of induction motor in electric vehicle. Nowadays, the complex vector PI and model predictive control improve the performance of motor. However, there are still some problems, such as long time response, overshoot. Therefore, this paper designs a predictive control current regulator based on Laguerre function model for induction motor controller of electric vehicle. This current controller can predict many steps of future state variables based on the current and past information. An optimal command can be obtained according to the expected values of the controlled objects and the change of the control quantity. Experimental results show that, compared with complex vector PI and model predictive control (MPC), the proposed regulator can obtain a better performance of dynamic response and reduce sensitivity to model parameters.

Key words： Induction motor model predictive control (MPC) Laguerre based MPC (LMPC) dynamic response parameters robustness

Published: 10 October 2017

PACS:

TM343

Fund:中央高校基本科研业务费项目资助（2015JBM090）

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	Articles by authors
	Hao Wenmei
	Zhang Liwei
	Mao Xueyu
	Sun Minghe
	Xiu Sanmu

Cite this article:

Hao Wenmei,Zhang Liwei,Mao Xueyu等. A Current Regulator of Model Predictive Control Used for Induction Motor Based on Laguerre Function[J]. Transactions of China Electrotechnical Society, 2017, 32(18): 124-130.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L70454 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I18/124

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