Loss minimization control of induction motor drives based on genetic algorithms

Author

Poirier, Eric ; Ghribi, Mohsen ; Kaddouri, Azeddine

Author_Institution

Sch. of Eng., Moncton Univ., NB, Canada

fYear

2001

fDate

2001

Firstpage

475

Lastpage

478

Abstract

In this paper, a new approach using a floating point genetic algorithm (GA) is applied to minimize induction motor (IM) electric losses. The maximum efficiency is obtained by the online evaluation of the optimal magnetization flux. The loss model approach used is based on the steady state mathematical model of the IM. Some simulation results are given to validate this new approach. It is shown that this approach gives good results both in the steady state and dynamic operations

Keywords

control system analysis; control system synthesis; genetic algorithms; induction motor drives; losses; machine control; machine theory; magnetic flux; magnetisation; optimal control; control design; control simulation; dynamic operation; floating point genetic algorithm; induction motor drives; loss minimization control; loss model approach; maximum efficiency; optimal magnetization flux; steady state mathematical model; steady state operation; Energy consumption; Genetic algorithms; Genetic engineering; Induction motor drives; Induction motors; Magnetization; Mathematical model; Minimization methods; Optimal control; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines and Drives Conference, 2001. IEMDC 2001. IEEE International

Conference_Location

Cambridge, MA

Print_ISBN

0-7803-7091-0

Type

conf

DOI

10.1109/IEMDC.2001.939348

Filename

939348