Internal Model Control of Permanent Magnet Synchronous Motor Using Support Vector Machine Generalized Inverse

被引:75
作者
Liu, Guohai [1 ]
Chen, Lingling [1 ]
Zhao, Wenxiang [1 ]
Jiang, Yan [1 ]
Qu, Li [1 ]
机构
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China
基金
中国国家自然科学基金;
关键词
Support vector machine (SVM); generalized inverse system; permanent magnet synchronous motor (PMSM); internal model control (IMC); decoupling control; SENSORLESS CONTROL; NEURAL-NETWORKS; DESIGN;
D O I
10.1109/TII.2012.2222652
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new decoupling control for permanent magnet synchronous motor (PMSM) in which both the support vector machine generalized inverse (SVMGI) and the internal model control (IMC) are employed. By introducing the SVMGI systems into the original PMSM system, a new pseudo-linear system is developed. Moreover, based on the characteristics of the pseudo-linear system, the IMC theory is utilized to design extra controllers to improve the robustness of the whole system. Consequently, the proposed control strategy incorporates the merits of both the SVMGI and the IMC. The utility of the proposed control strategy is demonstrated by both the simulation and the experiments at various operations. The results validate successful decoupling of the original system, strong robustness to load disturbance and good dynamic performance.
引用
收藏
页码:890 / 898
页数:9
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