A Brief Survey on Artificial Intelligence Methods in Synchronous Motor Control

Abstract:

Many industrial applications require efficient servo drives and speed control to obtain the necessary performance with respect to different applications. As time passes, artificial intelligence has grown and replaced many traditional control methods in order to attain greater robustness to uncertainties, faster dynamic response and smaller position and speed errors. This paper briefly reviews several artificial intelligence implementations in synchronous motor control systems and briefly indicates the advantages and disadvantages of each method.

• Periodical: Applied Mechanics and Materials (Volumes 52-54)
• Pages: 198-203
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.52-54.198
• Online since: March 2011
• Authors: Choon Lih Hoo, Sallehuddin Mohamed Haris
• Keywords: Evolutionary Strategy, Fuzzy Logic, Permanent Magnet Synchronous Motor (PMSM), Position Control, Speed Control

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