Title :
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
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;
Conference_Titel :
Electric Machines and Drives Conference, 2001. IEMDC 2001. IEEE International
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-7091-0
DOI :
10.1109/IEMDC.2001.939348
