电子、通信与自动控制

基于输出误差的永磁同步电机分数阶建模

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  • 华南理工大学 自动化科学与工程学院,广东 广州 510640
郑伟佳(1988-),男,博士生,主要从事电动机分数阶建模与控制研究. E-mail: z.wj08@ mail.scut.edu.cn

收稿日期: 2015-02-12

  修回日期: 2015-04-13

  网络出版日期: 2015-09-07

基金资助

广东省数控一代机械产品创新应用示范工程专项资金项目(2013B011301012);广州市产学研协同创新重大专项
(201508030040)

Fractional-Order Modeling of Permanent Magnet Synchronous Motor Based on Output-Error Algorithm

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  • School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
郑伟佳(1988-),男,博士生,主要从事电动机分数阶建模与控制研究. E-mail: z.wj08@ mail.scut.edu.cn

Received date: 2015-02-12

  Revised date: 2015-04-13

  Online published: 2015-09-07

Supported by

Supported by the High-Performance Digital Servo Drive Technology and Equipment for the Numerical Control Injection Molding Machine(2013B011301012)

摘要

为了得到永磁同步电动机更为精确的数学模型,采用机理建模和数值建模相结合的方式,提出了一种永磁同步电动机分数阶建模方法. 首先根据电动机组成机理建立电动机的电磁环节和机械环节模型,分别对这两个环节进行建模实验,然后采用基于输出误差的数值拟合方法进行参数辨识,得到永磁同步电动机的分数阶模型,最后根据所得模型设计速度控制器并进行电动机速度跟踪仿真和实验. 结果表明,电动机分数阶模型比整数 阶模型能更准确地描述电动机的实际特性.

本文引用格式

郑伟佳 王孝洪 皮佑国 . 基于输出误差的永磁同步电机分数阶建模[J]. 华南理工大学学报(自然科学版), 2015 , 43(9) : 8 -13 . DOI: 10.3969/j.issn.1000-565X.2015.09.002

Abstract

In order to obtain a precise model of permanent magnet synchronous motor (PMSM),a fractional-order
modeling approach of PMSM is proposed by combining the mechanism modeling and the numerical modeling. First,the model structures of electromagnetic part and mechanical part of PMSM are built on the basis of the composition mechanism of PMSM,and modeling experiments are conducted on the two parts. Then,the parameters of the two parts are identified by applying the output-error numerical fitting method,and the fractional-order model of PMSM is thus obtained. Finally,the speed controllers are designed on the basis of the obtained model,and the simulations and experiments of tracking the motor speed are performed. Simulation and experimental results show that the proposed fractional-order model can describe the nature of PMSM more precisely in comparison with the integer-order model.
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