DocumentCode :
145528
Title :
Adaptive Sliding Mode Position Control for Electrical Motors
Author :
Barambones, Oscar ; Alkorta, Patxi ; Gonzalez de Durana, Jose Maria
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of the Basque Country, Vitoria, Spain
Volume :
2
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
17
Lastpage :
23
Abstract :
An adaptive sliding mode position control for induction motors using field oriented control theory is presented. The proposed sliding-mode control law incorporates an adaptive switching gain to avoid calculating an upper limit of the system uncertainties. The design incorporates a flux estimator that operates on the principle of flux and current observer. The proposed observer is basically an estimator that uses a plant model and a feedback loop with measured stator voltages and currents. The stability analysis of the proposed controller under parameter uncertainties and load disturbances is provided using the Lyapunov stability theory. Finally experimental results show that the proposed controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; feedback; induction motors; machine control; observers; position control; stability; uncertain systems; variable structure systems; Lyapunov stability theory; adaptive sliding mode position control law; adaptive switching uncertainties; controller deign; electrical motors; external load disturbances; feedback loop; field oriented control theory; flux estimator; high-performance dynamic characteristics; induction motors; observer; parameter uncertainties; plant model; plant parameter variations; stability analysis; stator current measurement; stator voltage measurement; system uncertainties; upper limit; Equations; Induction motors; Mathematical model; Observers; Rotors; Torque; Uncertainty; Adaptive Control; Induction Motor; Position Control; Sliding Mode Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.88
Filename :
6822297
Link To Document :
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