Title :
A new technique of backstepping control parameters determination using genetic algorithm
Author :
Moutchou, Mohamed ; Mahmoudi, Hassan ; Abbou, Ahmed
Author_Institution :
Mohammadia Sch.´s of Eng., Mohamed V Univ. Agdal, Rabat, Morocco
Abstract :
In this article we present a new technique for determining the parameters of induction machine backstepping control that achieve the best performance of this control, while ensuring respect of the physical limits of the induction machine. This technique was designed based on the genetic algorithm optimization technique. The validation of this technique was made by simulation using Matlab, the obtained results prove its effectiveness and significant usefulness.
Keywords :
asynchronous machines; control nonlinearities; genetic algorithms; machine control; mathematics computing; Matlab; backstepping control parameters determination; genetic algorithm optimization technique; induction machine backstepping control; Backstepping; Genetic algorithms; Induction machines; Optimization; Rotors; Stators; Time factors; Backstepping Control; Genetic Algorithm; Induction Machine; Optimisation;
Conference_Titel :
Renewable and Sustainable Energy Conference (IRSEC), 2014 International
Print_ISBN :
978-1-4799-7335-4
DOI :
10.1109/IRSEC.2014.7059744