NDLI: Adaptive speed control for induction motor drives using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Kung, Y.S. Ouyang, M. Liaw, C.M.
Copyright Year	1993
Description	Author affiliation: Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Kung, Y.S.; Ouyang, M.)
Abstract	In this paper, the adaptive speed control of induction motor drives using neural networks is presented. To obtain good performances both in tracking and regulating characteristics, a digital two-degree-of-freedom (2DOF) controller and its quantitative design procedure are proposed. The parameters of the controller corresponding to various drive parameter sets are found off-line and stored as the training patterns. Under normal operation, the true drive parameters are real-time identified and they are converted into the controller parameters through multilayer forward computation by neural networks. In which, the connection weights of the multilayer feedforward network are estimated by backpropagation learning algorithm.
Starting Page	188
Ending Page	193
File Size	504986
Page Count	6
File Format	PDF
ISBN	0780308913
DOI	10.1109/IECON.1993.339083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-11-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Velocity control Induction motor drives Neural networks Automatic control Multi-layer neural network Motor drives Computer networks Design methodology
Content Type	Text
Resource Type	Article

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