Hybrid controller using a neural network for a PM synchronous servo-motor drive

F. J. Lin, R. J. Wai

研究成果: 雜誌貢獻期刊論文同行評審

35 引文 斯高帕斯(Scopus)

摘要

A permanent magnet (PM) synchronous servo-motor drive with a hybrid controller, which combines the advantages of the integral-proportional (IP) controller and the neural network, is introduced for both speed and position control. First, the IP speed and position controllers are designed according to the estimated plant model to match the time-domain command tracking specifications. Then the resulting closed-loop tracking transfer function of the speed-control system is used as the reference model, and an adaptive signal generated from the neural-network controller, whose connective weights are trained on-line using the proposed delta adaptation law according to the modelfollowing error of the outputs, is added to the speed-control system to preserve a favourable model-fojlowing characteristic under various operating conditions. To demonstrate the effectiveness of the proposed hybrid controller, the control scheme is also implemented for the position-control system.

原文???core.languages.en_GB???
頁(從 - 到)223-230
頁數8
期刊IEE Proceedings: Electric Power Applications
145
發行號3
DOIs
出版狀態已出版 - 1998

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