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
fDate :
1/1/1998 12:00:00 AM
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;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19981701