NDLI: Identification and control of a DC motor using back-propagation neural networks

Content Provider	IEEE Xplore Digital Library
Author	Weerasooriya, S. El-Sharkawi, M.A.
Copyright Year	1986
Abstract	An artificial-neural-network (ANN)-based high-performance speed-control system for a DC motor is introduced. The rotor speed of the DC motor can be made to follow an arbitrarily selected trajectory. The purpose is to achieve accurate trajectory control of the speed, especially when motor and load parameters are unknown. The unknown nonlinear dynamics of the motor and the load are captured by the ANN. The trained neural-network identifier is combined with a desired reference model to achieve trajectory control of speed. The performances of the identification and control algorithms are evaluated by simulating them on a typical DC motor model. It is shown that a DC motor can be successfully controlled using an ANN.<>
Sponsorship	IEEE Power Engineering Society
Starting Page	663
Ending Page	669
Page Count	7
File Size	612303
File Format	PDF
ISSN	08858969
Volume Number	6
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	DC motors Neural networks Artificial neural networks Control systems Topology Rotors Nonlinear dynamical systems Electric variables control Adaptive control Velocity control
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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