Intelligent control of permanent magnet synchronous motor

碩士 === 國立中央大學 === 電機工程學系在職專班 === 101 === The article mainly aims to improve fuzzy controller’s defect in steady state. The performance of the systems depends on the selection of the fuzzy rules and fuzzy membership functions. The number of Fuzzy rule and fuzzy membership function will also influence...

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Bibliographic Details
Main Authors: Chao-Chien Li, 趙健利
Other Authors: Chung-Hung Yuan
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/91353657425835481316
Description
Summary:碩士 === 國立中央大學 === 電機工程學系在職專班 === 101 === The article mainly aims to improve fuzzy controller’s defect in steady state. The performance of the systems depends on the selection of the fuzzy rules and fuzzy membership functions. The number of Fuzzy rule and fuzzy membership function will also influence the accuracy of fuzzy control. In steady state, there are some errors. The article proposes to use integral-fuzzy controller to improve the steady state errors. The integral fuzzy controller is added, combined with the decider to reduce the overshoot of the system response. Furthermore, using PSIM software to simulate fuzzy controller, integral-fuzzy controller and integral-fuzzy controller with decider. Finally the experimental results and discussions are shown to verify the effectiveness of the present work.