Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling

Design optimization of a permanent magnet eddy current brake (PM-ECB) is performed by applying multiobjective particle swarm optimization (MO-PSO) for cost minimization. A previously designed and patented PM-ECB is used as a reference model in the study. A quasi-3-dimensional (3D) analytical modelin...

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Autores principales:	Mehmet Gulec, Pia Lindh, Metin Aydin, Juha Pyrhonen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Eddy current eddy current brake magnetic equivalent circuit multiobjective optimization nonlinear analysis pareto front Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/fd7ee27e1f0f4258a0a7b65333397dd4
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id	oai:doaj.org-article:fd7ee27e1f0f4258a0a7b65333397dd4
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spelling	oai:doaj.org-article:fd7ee27e1f0f4258a0a7b65333397dd42021-12-03T00:00:31ZCost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling2169-353610.1109/ACCESS.2021.3129927https://doaj.org/article/fd7ee27e1f0f4258a0a7b65333397dd42021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623450/https://doaj.org/toc/2169-3536Design optimization of a permanent magnet eddy current brake (PM-ECB) is performed by applying multiobjective particle swarm optimization (MO-PSO) for cost minimization. A previously designed and patented PM-ECB is used as a reference model in the study. A quasi-3-dimensional (3D) analytical modeling approach based on a reluctance network considering the actual structure of the reference PM-ECB is proposed and verified. The Gauss–Seidel method is used as a nonlinear solver for the reluctance network modeling, and the braking torque is calculated considering both the skin effect and the armature reaction. Multiobjective optimization is developed by applying a particle swarm algorithm, and a 3D Pareto front is provided to demonstrate all non-dominating design points. Three cost functions, viz. rated braking torque, magnet mass, and magnetic flux density of the yoke, are selected as the objectives for the optimization problem, and the optimum design point is addressed in detail. The optimized design is validated by 3D-FEA and experiments. The results indicate that a 40% reduction in the magnet volume could be brought about by the optimized PM-ECB design with practically the same braking torque. Further, a 40% cost reduction in the optimized brake could be achieved compared with the reference one.Mehmet GulecPia LindhMetin AydinJuha PyrhonenIEEEarticleEddy currenteddy current brakemagnetic equivalent circuitmultiobjective optimizationnonlinear analysispareto frontElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157361-157370 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Eddy current eddy current brake magnetic equivalent circuit multiobjective optimization nonlinear analysis pareto front Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Eddy current eddy current brake magnetic equivalent circuit multiobjective optimization nonlinear analysis pareto front Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mehmet Gulec Pia Lindh Metin Aydin Juha Pyrhonen Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
description	Design optimization of a permanent magnet eddy current brake (PM-ECB) is performed by applying multiobjective particle swarm optimization (MO-PSO) for cost minimization. A previously designed and patented PM-ECB is used as a reference model in the study. A quasi-3-dimensional (3D) analytical modeling approach based on a reluctance network considering the actual structure of the reference PM-ECB is proposed and verified. The Gauss–Seidel method is used as a nonlinear solver for the reluctance network modeling, and the braking torque is calculated considering both the skin effect and the armature reaction. Multiobjective optimization is developed by applying a particle swarm algorithm, and a 3D Pareto front is provided to demonstrate all non-dominating design points. Three cost functions, viz. rated braking torque, magnet mass, and magnetic flux density of the yoke, are selected as the objectives for the optimization problem, and the optimum design point is addressed in detail. The optimized design is validated by 3D-FEA and experiments. The results indicate that a 40% reduction in the magnet volume could be brought about by the optimized PM-ECB design with practically the same braking torque. Further, a 40% cost reduction in the optimized brake could be achieved compared with the reference one.
format	article
author	Mehmet Gulec Pia Lindh Metin Aydin Juha Pyrhonen
author_facet	Mehmet Gulec Pia Lindh Metin Aydin Juha Pyrhonen
author_sort	Mehmet Gulec
title	Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
title_short	Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
title_full	Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
title_fullStr	Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
title_full_unstemmed	Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling
title_sort	cost minimization of a permanent magnet eddy current brake by multiobjective particle swarm optimization based on nonlinear reluctance network modeling
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/fd7ee27e1f0f4258a0a7b65333397dd4
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Cost Minimization of a Permanent Magnet Eddy Current Brake by Multiobjective Particle Swarm Optimization Based on Nonlinear Reluctance Network Modeling

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