Position control of faulted six-phase induction machine using genetic algorithms

Author

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

Author_Institution

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

fYear

2011

fDate

5-8 Sept. 2011

Firstpage

385

Lastpage

390

Abstract

In this paper, a fuzzy PI (FPI) controller tuned using genetic algorithms (GA) is proposed for position control of six-phase induction motor (6PIM). The performance and the robustness of the control system are tested for healthy and several faulted operational modes and rotor inertia variations. The FPI controller presents many advantages such as satisfactory control performance under a wide range of operating conditions. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests.

Keywords

PI control; asynchronous machines; fault diagnosis; fuzzy control; genetic algorithms; machine control; position control; conventional proportional-integral control; faulted operational modes; faulted six-phase induction machine; fuzzy PI controller; genetic algorithms; healthy operational modes; position control; rotor inertia variations; satisfactory control performance; Genetic algorithms; Induction machines; Mathematical model; Position control; Simulation; Stator windings; Faulted Mode; Fuzzy PI controller; Genetic Algorithms; Multiphase induction machines; Position Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on

Conference_Location

Bologna

Print_ISBN

978-1-4244-9301-2

Electronic_ISBN

978-1-4244-9302-9

Type

conf

DOI

10.1109/DEMPED.2011.6063652

Filename

6063652