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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 19 | Page No.: 2725-2735
DOI: 10.3923/jas.2007.2725.2735
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Optimization of Fuzzy Controller of Permanent Magnet Synchronous Motor
Kuang-Cheng Yu, Shou-Ping Hsu and Yung-Hsiang Hung

Present study aims at discussing how to optimize the fuzzy controller of Permanent Magnet Synchronous Motor (PMSM). By reducing the influence of parameter changes of plant using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) of Taguchi Method and Multi-Criteria Decision Making (MCDM), it shall be possible to improve robust characteristics of control system, thus promoting the output quality and performance of PMSM plant. Meanwhile, an analytical model for the parameters and output quality of fuzzy controllers was set up and optimal parameters were designed using Genetic Algorithm (GA). Generally speaking, PMSM controller has a long-lasting infrastructure without complex computation, of which the Small-The-Better (STB) output features of PMSM include: Overshoot, rise time and settling time. In previous design of controllers, only individual quality characteristics were considered without overall output design of multiple quality characteristics. By using a controller based on fuzzy logic method in cooperation with parameterization method of TOPSIS, this study intended to discuss how to ensure optimum output quality and performance (overshoot, rise time and settling time) under different noise factors (speeds and loads, etc.). With a PC-based infrastructure that combines PC-based motor controller system and Matlab/Simulink software for simulation process, it seeks to obtain optimum parameters of controllers and implement a PMSM fuzzy control system with vector control function. The computer simulation results have proved the validity and feasibility of entire infrastructure with possible desirable effects.
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How to cite this article:

Kuang-Cheng Yu, Shou-Ping Hsu and Yung-Hsiang Hung, 2007. Optimization of Fuzzy Controller of Permanent Magnet Synchronous Motor. Journal of Applied Sciences, 7: 2725-2735.

DOI: 10.3923/jas.2007.2725.2735








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