Title :
Fast multi objective optimization of an automotive PMSM using mixed BEM with genetic algorithms
Author :
Touati, Said ; Ibtiouen, R. ; Touhami, O. ; Djerdir, A.
Author_Institution :
Nucl. Res. Centre of BIRINE (CRNB), Ain Oussera, Algeria
Abstract :
In this work, we discuss multi-objective design optimization of permanent magnet synchronous motor (PMSM) solved by genetic algorithm (GA) and boundary element method. We choose the decrease of cogging torque and the increase of torque as objectives applied to multi-objective optimization (MO) of automotive permanent magnet synchronous motor. The airgap length, teeth width and magnetization angle of permanent magnet (PM) are also selected for the design variables respectively. From the results, our approach method enabled us to efficiently obtain diverse Pareto optimal (PO) solutions from the practical point of view.
Keywords :
boundary-elements methods; genetic algorithms; permanent magnet motors; synchronous motors; BEM; Pareto optimal solution; automotive PMSM; boundary element method; genetic algorithm; multi objective optimization; permanent magnet synchronous motor; Boundary element methods; Finite element methods; Forging; Mathematical model; Optimization; Permanent magnet motors; Torque; Permanent magnet synchronous motor; boundary element method; genetic algorithm; multi-objective design optimization;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE
Conference_Location :
Lille
Print_ISBN :
978-1-4244-8220-7
DOI :
10.1109/VPPC.2010.5728995
