کنفرانس بین المللی ماشین و محرکه های الکتریکی

صفحه اصلی / The 5th International Conference on Electrical Machines and Drives

Multi-Objective Design Optimization of a Flux-Switching Permanent Magnet Motor: A Comparative Study of Metaheuristic Algorithms

نویسندگان :

Tohid Sharifi¹ Ali Jamali-Fard² Hossein Azizi Moghaddam³

1- Department of Electrical Engineering Amirkabir University of Technology 2- Department of Electrical Engineering Amirkabir University of Technology 3- Electrical Rotating Machines Research Department Niroo Research Institute

کلمات کلیدی :

Design optimization،finite element analysis،metaheuristic،performance trade-off،permanent magnet motor

چکیده :

The inevitable and intrinsic contradiction between the most required performance criteria of electric motors, such as torque performance, manufacturing/material cost, reliability, compactness, and mechanical integrity has guided the researchers to exploit the intelligent multi-objective algorithms for the design optimization problems, rather than the classical single-objective approaches. In this study, the performance criteria of a flux-switching permanent magnet motor is studied as a benchmark case to compare the quantity and quality of the results, proposed by the most popular multi-objective metaheuristic algorithms, including NSGA-II, MOPSO, SPEA-II, and MOGWO. In the comparative study phase, the numerical finite element analysis (FEA) is utilized in interface with the optimization algorithms. The non-dominated design solutions, already available in the form of Pareto fronts, are then evaluated based on a decision making strategy and a single solution is extracted from the entire set of solutions proposed by all algorithms. The finally selected optimal design is manufactured and tested to validated the results of the FEA as the last step of this study.