基于遗传算法的IPM同步电机模糊控制器

2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692) Pub Date : 2003-06-09 DOI:10.1109/ISIE.2003.1267960

M.A. Rahman, M. Uddin

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引用次数: 3

摘要

提出了一种基于遗传模糊控制器(GFLC)的内置永磁同步电机转速控制方案。所提出的GFLC计算量小，适合在线实现。采用遗传算法对GFLC的参数进行了优化。结合GFLC的完整矢量控制方案在实验室1hp内置永磁电机上使用数字信号处理板ds1102成功实现了实时控制。仿真和实验结果验证了基于GFLC的IPMSM驱动在负载突变、参数变化、指令速度阶跃变化等不同动态工况下的有效性。所提出的模糊控制器是一种鲁棒控制器，适用于IPMSM驱动。

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A novel genetic algorithm based fuzzy logic controller for IPM synchronous motor drive

This paper presents a novel speed control scheme using a new genetic-based fuzzy logic controller (GFLC) for an interior permanent magnet synchronous motor (IPMSM) drive. The proposed GFLC is designed to have less computational burden, which makes it suitable for online implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete vector control scheme 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 different dynamic operating conditions such as sudden load change, parameter variations, step change of command speed, etc. The proposed fuzzy logic controller is found to be a robust controller for application in IPMSM drive.

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来源期刊

2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692)

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