DocumentCode :
2643361
Title :
An adaptive sliding mode control law for induction motors using field oriented control theory
Author :
Barambones, O. ; Garrido, A.J. ; Maseda, F.J. ; Alkorta, P.
Author_Institution :
Dept. of Syst. Eng. & Autom. Control, Basque Country Univ., Bilbao
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
1008
Lastpage :
1013
Abstract :
In this paper, an indirect field-oriented induction motor drive with a sliding-mode controller is presented. The proposed sliding-mode control law incorporates an adaptive switching gain that avoid calculating an upper limit of the system uncertainties. The design also includes rotor speed computation from measured stator terminal voltages and currents. The calculated speed is used as feedback in an indirect vector control system achieving the speed control without the use of shaft mounted transducers. Stability analysis based on Lyapunov theory is also presented, to guarantee the closed loop stability. Finally simulated results show on the one hand that the proposed controller with the proposed estimator provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to plant parameter variations and external load disturbances
Keywords :
Lyapunov methods; adaptive control; closed loop systems; control system synthesis; feedback; induction motor drives; machine vector control; stability; variable structure systems; velocity control; Lyapunov theory; adaptive sliding mode control law; adaptive switching gain; closed loop stability; feedback; field oriented control theory; indirect field oriented induction motor drive; indirect vector control system; speed control; Adaptive control; Control theory; Current measurement; Induction motor drives; Induction motors; Programmable control; Rotors; Sliding mode control; Stability analysis; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
Type :
conf
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776782
Filename :
4776782
Link To Document :
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