Adaptive speed control for induction motor drives using neural networks

Author

Kung, Y.S. ; Liaw, C.M. ; Ouyang, M.S.

Author_Institution

Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

42

Issue

1

fYear

1995

fDate

2/1/1995 12:00:00 AM

Firstpage

25

Lastpage

32

Abstract

In this paper, the adaptive speed control of induction motor drives using neural networks is presented. To obtain good tracking and regulating control characteristics, a digital two-degree-of-freedom (2DOF) controller is adopted and a design procedure is developed for systematically finding its parameters according to prescribed specifications. The parameters of the controller corresponding to various drive parameter sets are found off-line and used as the training patterns to estimate the connection weights of neural networks, 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. The parameters of the 2DOF controller can be adapted to match the desired specifications under various operating conditions

Keywords

adaptive control; control system synthesis; controllers; feedforward neural nets; induction motor drives; learning (artificial intelligence); machine control; power engineering computing; variable speed drives; velocity control; adaptive speed control; connection weights; digital two-degree-of-freedom controller; induction motor drives; multilayer forward computation; neural networks; regulating control; tracking control; training patterns; Adaptive control; Automatic control; Computer networks; Control systems; Induction motor drives; Motor drives; Multi-layer neural network; Neural networks; Programmable control; Velocity control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.345842

Filename

345842