DocumentCode :
135832
Title :
VSC-based DTC-SVM with adaptive parameter estimation
Author :
Ben Salem, Fatma ; Derbel, N.
Author_Institution :
Sfax Eng. Sch., Univ. of Sfax, Sfax, Tunisia
fYear :
2014
fDate :
11-14 Feb. 2014
Firstpage :
1
Lastpage :
7
Abstract :
This paper describes a robust sliding mode control with parameter adaptive estimation for a DTC-SVM system. The proposal combines advantages and benefits of both (i) DTC-SVM approach, which produces constant switching frequency, and overcomes several problems of induction machine control, and (ii) variable-structure controllers (VSC) which offer fast dynamic response, and which are easy to implement. Proposed variable structure controllers are designed to provide fast and accurate torque and flux controls which replace traditional hysteresis comparators. A new adaptive parameter estimation scheme is described. The synthesis of such controllers and parameter estimators is done using the Lyapunov stability theory. Simulation results dealing with steady-state as well as dynamic behaviors of the controlled induction motor show the efficiency and the robustness of the designed controllers and estimators.
Keywords :
Lyapunov methods; control system synthesis; induction motors; parameter estimation; robust control; support vector machines; variable structure systems; Lyapunov stability theory; VSC-based DTC-SVM system; adaptive parameter estimation; controllers design; dynamic behaviors; fast dynamic response; flux controls; hysteresis comparators; induction machine control; induction motor; parameter estimators; robust sliding mode control; robustness; variable structure controllers; Differential equations; Equations; Estimation; Magnetic flux; Robustness; DTC-SVM; Induction motor; adaptive parameter estimator; parameter variations; sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/SSD.2014.6808813
Filename :
6808813
Link To Document :
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