Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

被引：48

作者：

Uddin, MN ^{[1
]}

Abido, AA

Rahman, MA

机构：

[1] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON P7B 5E1, Canada

[2] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran 31261, Saudi Arabia

[3] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2005年 / 41卷 / 01期

关键词：

digital signal processor (DSP); fuzzy logic; genetic algorithm (GA); interior permanent-magnet (IPM) motor; real-time implementation; vector control;

D O I：

10.1109/TIA.2004.840995

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.

引用

页码：246 / 252

页数：7

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