System identification of a pick-and-place mechanism driven by a permanent magnet synchronous motor

Fung, Rong‐Fong; Chiang, Chin-Lung; Wu, Guo-Ching

doi:10.1016/j.apm.2009.10.040

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Cited by 9 publications

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“…The result is verified by the finite element method and has shown a 90% reduction. GA also identifies parameters as in [10]. Real-coded genetic algorithm (RGA) has been employed for mechanical and electrical systems of both pick-and-place (PPM) and PMSM identification.…”

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confidence: 99%

A Brief Survey on Artificial Intelligence Methods in Synchronous Motor Control

Hoo

Haris²

2011

AMM

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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.

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confidence: 99%