A systematic design optimization approach for interior permanent magnet machines equipped with novel semi-overlapping wi
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A systematic design optimization approach for interior permanent magnet machines equipped with novel semi-overlapping windings Tayfun Gundogdu 1,2
&
Guven Komurgoz 1
Received: 3 April 2020 / Revised: 4 August 2020 / Accepted: 17 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In this paper, a systematic approach to achieve optimized design of interior permanent magnet machine (IPM) having novel semioverlapping windings (NSWs) is presented. The optimization parameters have been determined individually by performing sensitivity analyses. Multi-objective global optimization is subsequently performed. Genetic algorithm (GA) approach, which is also known as “random search with learning algorithm” and an effective optimization tool used for design optimization of electric machines, is employed. IPMs equipped with integer-slot distributed winding (ISDW) and NSW are initially designed by using the geometric and operating parameters of Toyota Prius 2010 IPM. Subsequently, a time-stepping 2D finite element analysis (FEA)-based program is employed to perform the optimization and quickly evaluate the optimal solution among the thousands of design candidates thanks to the sensitivity analyses. In order to reveal the effectiveness and rapidity of the multiobjective global optimization, a comprehensive electromagnetic performance comparison between the original (with ISDWs), initial and optimal designs (with NSWs) is presented. Finally, a small IPM prototype globally optimized by using the proposed procedure is manufactured, and the FEA results have been validated by measurements. Our goals in this study is to advance the state of the art in the multi-objective design optimization of NSW IPMs by performing sensitivity analyses to reach the optimal solution quickly and to determine the most sensitive design parameters affecting the key performance characteristics. Keywords Genetic algorithm . Individual optimization . Interior permanent magnet machine . Multi-objective global optimization . Sensitivity analysis . Semi-overlapping winding . Shape optimization
1 Introduction In recent years, there has been a growing need for highperformance electrical machines. Electrical machines with permanent magnets (PMs) are excessively employed in various applications due to their superior output characteristics, such as high efficiency, high torque, and power densities. It is Responsible Editor: Somanath Nagendra Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00158-020-02746-6) contains supplementary material, which is available to authorized users. * Tayfun Gundogdu [email protected] 1
Department of Electrical Engineering, Istanbul Technical University, Ayazaga Campus, 34469 Istanbul, Turkey
2
Department of Electrical and Electronic Engineering, Hakkari University, 30000 Merkez, Hakkari, Turkey
necessary to develop an optimal design technique to meet the demand for high-performance electrical machines. In literature,
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