DocumentCode
1303813
Title
SMC-based adaptive input-output linearising control of induction motors
Author
Park, T.-G. ; Lee, K.-S.
Author_Institution
Dept. of Electr. Eng., Dankook Univ., Seoul, South Korea
Volume
145
Issue
1
fYear
1998
fDate
1/1/1998 12:00:00 AM
Firstpage
55
Lastpage
62
Abstract
The authors present a sliding mode-based adaptive input-output linearising control for induction motors, which covers the more realistic situation in which the load torque and the rotor resistance are not exactly known. A nonlinear identification scheme based on the continuous Hopfield network is proposed which models the unknown parameter deviations between load torque and rotor resistance and their nominal values. Once these are identified, the motor flux amplitude and speed are separately controlled by sliding mode control with variable switching gains. Simulation results show the robust behaviour of the controller in the presence of parameter uncertainties and disturbances
Keywords
Hopfield neural nets; adaptive control; identification; induction motors; linearisation techniques; machine control; nonlinear control systems; variable structure systems; SMC-based adaptive I/O linearising control; continuous Hopfield network; disturbances; induction motors; load torque; motor flux amplitude; nonlinear identification scheme; parameter uncertainties; robust behaviour; rotor resistance; sliding mode control; sliding mode-based adaptive input-output linearising control; unknown parameter deviations; variable switching gains;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings -
Publisher
iet
ISSN
1350-2379
Type
jour
DOI
10.1049/ip-cta:19981701
Filename
656111
Link To Document