基于级联MRAS的PMSM参数在线辨识算法 -- 西北工业大学学报,2017,35(3):486-493
论文:2017,Vol:35,Issue(3):486-493
引用本文:
朱雅, 贺昱曜, 许宇豪, 成月. 基于级联MRAS的PMSM参数在线辨识算法[J]. 西北工业大学学报
Zhu Ya, He Yuyao, Xu Yuhao, Cheng Yue. Online Identification of PMSM Parameters Based on Cascade MRAS[J]. Northwestern polytechnical university

基于级联MRAS的PMSM参数在线辨识算法
朱雅, 贺昱曜, 许宇豪, 成月
西北工业大学 航海学院, 陕西 西安 710072
摘要:
针对PMSM多参数在线辨识存在的欠秩问题,提出一种级联辨识模型,该模型通过2个模型参考自适应(MRAS)结构级联,分步实现对PMSM转速的估计和定子电阻、磁链的在线辨识;结合零极点配置方法对MRAS自适应机理中的PI参数进行设计,克服了试凑方法调节PI参数所带来的不足。仿真结果表明,文中提出的级联辨识模型能在宽速度范围内实现对PMSM转速的准确估计和参数的有效辨识,提高了系统的动静态性能和鲁棒性。
关键词:    永磁同步电机    级联MRAS模型    欠秩   
Online Identification of PMSM Parameters Based on Cascade MRAS
Zhu Ya, He Yuyao, Xu Yuhao, Cheng Yue
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
Aiming at the owe rank problem of on-line identification of PMSM multi-parameters, a cascade identification model is proposed. The model consists of two model reference adaptive (MRAS) constructions to realize the estimation of the PMSM speed and the identification of stator resistance、flux linkage. And the PI parameters of the MRAS adaptive mechanism are deduced by the method of zero pole assignment, which overcomes the shortcomings of traditional PI method. The simulation results show that the cascade identification model can estimate speed accurately, identify PMSM parameters effectively in the wide speed range, and maintain good dynamic and static performance.
Key words:    PMSM    MRAS    owe rank   
收稿日期: 2016-08-30     修回日期:
DOI:
基金项目: 国家自然科学基金(61271143)与研究生创意创新种子基金(Z2016006)资助
通讯作者:     Email:
作者简介: 朱雅(1991-),女,西北工业大学硕士研究生,主要从事电机控制研究。
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