Title :
A reverse fuzzy modelling for vector control of induction machine
Author :
Barazane, L. ; Louri, M. ; Amamra, S. ; Khwaldeh, A.
Author_Institution :
Fac. of Electron. & Comput., Univ. of Sci. & Technol. Houari. Boumediene (USTHB), Algiers, Algeria
Abstract :
The aim of this paper consists on presenting a novel approach of vector control of an induction motor based on the approach of fuzzy modelling proposed by Ben-Glalia. In fact, the authors introduce here and for the first time the fuzzy modelling technique of Ben-Ghalia et al. in order to conceive a simple reverse model which to replace the bloc of FOC and ensure more robustness towards parameter variations and uncertainties which represent the inconvenient of the vector control technique. The objective of such a reverse fuzzy model is to improve the robustness of the vector control scheme towards parameter´s variations and external disturbances. Unfortunately, in practice this is not checked because of uncertainties in the model. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling, however the choice for the fuzzy vector control appears advantageous of point of view robustness.
Keywords :
fuzzy control; induction motors; machine vector control; FOC bloc; control schemes; external disturbances; fuzzy modelling technique; fuzzy vector control; induction machine vector control; induction motor; reverse fuzzy modelling; vector control approach; vector control technique; Educational institutions; Induction motors; Machine vector control; Mathematical model; Power engineering; Rotors; Vectors; Vector control; induction motor; reverse fuzzy modeling;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635768