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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۶، شماره ۱، صفحات ۱۱۴-۱۲۱
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عنوان انگلیسی Optimal Shaping of Non-Conventional Permanent Magnet Geometries for Synchronous Motors via Surrogate Modeling and Multi-Objective Optimization Approach
چکیده انگلیسی مقاله A methodology is proposed for optimal shaping of permanent magnets with non-conventional and complex geometries, used in synchronous motors. The algorithm includes artificial neural network-based surrogate model and multi-objective search based optimization method that will lead to Pareto front solutions. An interior permanent magnet topology with crescent-shaped magnets is also introduced as the case study, on which the proposed optimal shaping methodology is applied. Produced torque per magnets mass and percentage torque ripple are considered as the objectives, in order to take both performance and cost into account. Multi-layer perceptron architecture used to create the approximated model is trained to fit the samples collected via time-stepping finite element simulations. The methodology can be easily generalized to offer a fast and accurate method to optimally define arbitrary permanent magnet shape parameters in various synchronous motors.
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نویسندگان مقاله | A. Nobahari
School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 13114-16846, Iran.


| M. R. Mosavi
School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 13114-16846, Iran.


| A. Vahedi
School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 13114-16846, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-78-26&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/446/article-446-2285538.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 3-Optimization in Systems Control
نوع مقاله منتشر شده Research Paper
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