Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm
In order to meet the requirement that the permanent magnet eddy current coupler has larger output torque and smaller eddy current loss in actual operation, the structural parameters and operation performance of axial permanent magnet eddy current coupler (APMEC) are optimized by chaos multi-objectiv...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721006090 |
| _version_ | 1818461342613372928 |
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| author | Pengyi Pan Dazhi Wang Bowen Niu |
| author_facet | Pengyi Pan Dazhi Wang Bowen Niu |
| author_sort | Pengyi Pan |
| collection | DOAJ |
| description | In order to meet the requirement that the permanent magnet eddy current coupler has larger output torque and smaller eddy current loss in actual operation, the structural parameters and operation performance of axial permanent magnet eddy current coupler (APMEC) are optimized by chaos multi-objective particle swarm optimization algorithm (CMOPSO) in this paper. The model of APMEC is established by three-dimensional finite element simulation. The central composite design (CCD) method is used to select the appropriate test point, and the response value is obtained by ANSYS finite element analysis software simulation. The second-order response surface regression model of APMEC was established according to the response value. The CMOPSO is used to optimize APMEC, and the optimal combination of structural parameters is obtained. By comparing the eddy current density distribution of APMEC before and after optimization with the finite element simulation experiment, it is verified that the optimization method is feasible to optimize the structural parameters of APMEC. The optimization results show that the efficiency of the permanent magnet eddy current coupler is more than 94%, and the energy consumption is reduced to 83% of the original energy consumption. |
| first_indexed | 2024-12-14T23:44:37Z |
| format | Article |
| id | doaj.art-1fe830997cfc42859f636ff19b2f0074 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-14T23:44:37Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-1fe830997cfc42859f636ff19b2f00742022-12-21T22:43:26ZengElsevierEnergy Reports2352-48472021-11-017531537Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithmPengyi Pan0Dazhi Wang1Bowen Niu2College of Information Science and Engineering, Northeastern University, No. 3-11 Wenhua Road, Shenyang, 110819, PR ChinaCorresponding author.; College of Information Science and Engineering, Northeastern University, No. 3-11 Wenhua Road, Shenyang, 110819, PR ChinaCollege of Information Science and Engineering, Northeastern University, No. 3-11 Wenhua Road, Shenyang, 110819, PR ChinaIn order to meet the requirement that the permanent magnet eddy current coupler has larger output torque and smaller eddy current loss in actual operation, the structural parameters and operation performance of axial permanent magnet eddy current coupler (APMEC) are optimized by chaos multi-objective particle swarm optimization algorithm (CMOPSO) in this paper. The model of APMEC is established by three-dimensional finite element simulation. The central composite design (CCD) method is used to select the appropriate test point, and the response value is obtained by ANSYS finite element analysis software simulation. The second-order response surface regression model of APMEC was established according to the response value. The CMOPSO is used to optimize APMEC, and the optimal combination of structural parameters is obtained. By comparing the eddy current density distribution of APMEC before and after optimization with the finite element simulation experiment, it is verified that the optimization method is feasible to optimize the structural parameters of APMEC. The optimization results show that the efficiency of the permanent magnet eddy current coupler is more than 94%, and the energy consumption is reduced to 83% of the original energy consumption.http://www.sciencedirect.com/science/article/pii/S2352484721006090Axial permanent magnet eddy current couplerFinite element method (FEM)Response surface methodology (RSM)Chaos multi-objective particle swarm optimization algorithm |
| spellingShingle | Pengyi Pan Dazhi Wang Bowen Niu Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm Energy Reports Axial permanent magnet eddy current coupler Finite element method (FEM) Response surface methodology (RSM) Chaos multi-objective particle swarm optimization algorithm |
| title | Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm |
| title_full | Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm |
| title_fullStr | Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm |
| title_full_unstemmed | Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm |
| title_short | Design optimization of APMEC using chaos multi-objective particle swarm optimization algorithm |
| title_sort | design optimization of apmec using chaos multi objective particle swarm optimization algorithm |
| topic | Axial permanent magnet eddy current coupler Finite element method (FEM) Response surface methodology (RSM) Chaos multi-objective particle swarm optimization algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721006090 |
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