Position control of six-phase induction machine using FuzzyPI controller tuned by genetic algorithms

Author

Moghadasian, M. ; Kianinezhad, R. ; Betin, F. ; Yazidi, A. ; Lanfranchi, V. ; Capolino, G.A.

Author_Institution

Lab. of Innovative Technol., Univ. of Picardie Jules Verne, Amiens, France

fYear

2011

fDate

11-13 May 2011

Firstpage

1

Lastpage

6

Abstract

In this paper, a fuzzy PI (FPI) controller is proposed for position control of six-phase induction motor (6PIM). The fuzzy controller is tuned by using the genetic algorithm so that a high performance of the overall system´s response can be achieved. The performance and the robustness of the control system are tested for fully loaded and widely load inertia variations. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests of both control techniques.

Keywords

PI control; fuzzy control; genetic algorithms; induction motors; machine control; position control; control system; fuzzy PI controller; genetic algorithms; load inertia variations; position control; proportional-integral control; six-phase induction machine; six-phase induction motor; Genetic algorithms; Induction machines; Mathematical model; Niobium; Position control; Stator windings; Faulted Mode; Fuzzy PI controller; Genetic Algorithms; Multiphase induction machines; Position Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on

Conference_Location

Malaga

ISSN

2155-5516

Print_ISBN

978-1-4244-9845-1

Electronic_ISBN

2155-5516

Type

conf

DOI

10.1109/PowerEng.2011.6036435

Filename

6036435