Model predictive control strategy based on feedback linearization for brushless doubly fed machine

被引：0

作者：

Guo, Haiyu ^{[1
]}

Yang, Junyou ^{[1
]}

Zhang, Xiaoguang ^{[2
]}

Cui, Jia ^{[1
]}

机构：

[1] School of Electrical Engineering, Shenyang University of Technology, Shenyang,110870, China

[2] Brilliance Automotive Engineering Research Institute, Shenyang,110141, China

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2020年 / 41卷 / 01期

关键词：

Electric machine control - Model predictive control - Controllers - Equations of state;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper proposes a model predictive controller based on feedback linearization for brushless doubly-fed machine BDFM. Based on the BDFM state space equation, the complex system is transformed into a linear one utilizing input-output feedback linearization in the synchronous coordinate oriented by the control motor flux. the stability of the linearized system is verified. On the basis of this, the predictive values are calculated. Based on the BDFM discrete prediction model, a model predictive controller is designed to achieve independent control of electromagnetic torque and control motor flux. Simulation results are presented to validate excellent control performance, and also the decoupling ability and smooth control, of the proposed controller. © 2020, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.

引用

页码：342 / 348

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