Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique
In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator a...
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| Vydáno v: | IET electric power applications Ročník 12; číslo 3; s. 431 - 438 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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The Institution of Engineering and Technology
01.03.2018
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| ISSN: | 1751-8660, 1751-8679, 1751-8679 |
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| Abstract | In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator and it's winding untouched. Starting from the original design of the rotor implemented in Flux2D, a finite element analysis software, and the genetic algorithm optimisation implemented in Matlab, a complex co-simulation was accomplished to obtain a rotor architecture that increases the machine's performances and decreases the torque ripples. By this, performing rotor skewing is not needed any more, hence the torque loss due to it was cancelled. The optimised rotor design increases the machine performances by higher mean torque, no skewing, <8% torque ripples, higher efficiency and better inductance characteristics. Comparative results obtained both in simulations and experimental measurements prove positive outcomes of the optimisation process. |
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| AbstractList | In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator and it's winding untouched. Starting from the original design of the rotor implemented in Flux2D, a finite element analysis software, and the genetic algorithm optimisation implemented in Matlab, a complex co‐simulation was accomplished to obtain a rotor architecture that increases the machine's performances and decreases the torque ripples. By this, performing rotor skewing is not needed any more, hence the torque loss due to it was cancelled. The optimised rotor design increases the machine performances by higher mean torque, no skewing, <8% torque ripples, higher efficiency and better inductance characteristics. Comparative results obtained both in simulations and experimental measurements prove positive outcomes of the optimisation process. |
| Author | Micu, Dan D Czumbil, Levente Rizzo, Renato Martis, Claudia Jurca, Florin Ruba, Mircea Polycarpou, Alexis |
| Author_xml | – sequence: 1 givenname: Mircea surname: Ruba fullname: Ruba, Mircea organization: 1Department of Electrical Machines and Drives, Technical University Cluj-Napoca, Str. George Baritiu, nr. 26-28, Cluj Napoca, Romania – sequence: 2 givenname: Florin surname: Jurca fullname: Jurca, Florin organization: 1Department of Electrical Machines and Drives, Technical University Cluj-Napoca, Str. George Baritiu, nr. 26-28, Cluj Napoca, Romania – sequence: 3 givenname: Levente surname: Czumbil fullname: Czumbil, Levente organization: 2Deptartment of Electrotechnics and Measurements, Technical University of Cluj-Napoca, Str. George Baritiu, nr. 26-28, Cluj Napoca, Romania – sequence: 4 givenname: Dan D surname: Micu fullname: Micu, Dan D organization: 2Deptartment of Electrotechnics and Measurements, Technical University of Cluj-Napoca, Str. George Baritiu, nr. 26-28, Cluj Napoca, Romania – sequence: 5 givenname: Claudia surname: Martis fullname: Martis, Claudia organization: 1Department of Electrical Machines and Drives, Technical University Cluj-Napoca, Str. George Baritiu, nr. 26-28, Cluj Napoca, Romania – sequence: 6 givenname: Alexis surname: Polycarpou fullname: Polycarpou, Alexis organization: 3Department of Electrical Engineering, Federick University, Nicosia, 1036, Cyprus – sequence: 7 givenname: Renato surname: Rizzo fullname: Rizzo, Renato email: renato.rizzo@unina.it organization: 4Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21-80125 Naples, Italy |
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| Cites_doi | 10.1109/TIA.2016.2622220 10.1109/TIA.2009.2018960 10.1109/TIE.2013.2271601 10.1109/ATEE.2015.7133936 10.1109/TIE.2016.2610940 10.1109/TIA.2017.2702111 10.1109/ECCE.2015.7310513 10.1109/TTE.2017.2649883 10.1109/IEMDC.2011.5994836 10.1002/047010628X 10.1109/TIA.2014.2345953 10.1109/TIA.2016.2532287 10.1109/TIA.2016.2599850 10.1109/JESTPE.2014.2299235 10.1109/SPEEDAM.2016.7525841 10.1109/TIA.2015.2429649 10.1049/iet-epa.2015.0240 10.1109/ICELMACH.2016.7732585 10.1109/WEMDCD.2013.6525167 10.1109/MVT.2012.2218438 10.1109/TIA.2014.2327143 10.1109/TIA.2015.2425802 10.1109/ECCE.2016.7855402 10.1109/TIA.2012.2227092 10.5772/2675 10.1109/SPEEDAM.2016.7525824 10.1109/28.855965 10.1109/TMAG.2017.2662705 10.1109/TIA.2014.2312540 10.1049/cp.2016.0253 |
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| Keywords | rotors synchronous reluctance machine geometry optimisation machine performances electric vehicles genetic algorithm-based technique torque loss Flux2D genetic algorithms design optimisation dedicated genetic algorithms light electric vehicles stators mean torque inductance characteristics rotor architecture rotor skewing reluctance machines optimised rotor design complex co-simulation torque ripple reduction stator finite element analysis software optimisation process Matlab |
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| Snippet | In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque... |
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| SubjectTerms | complex co‐simulation dedicated genetic algorithms design optimisation electric vehicles finite element analysis software Flux2D genetic algorithms genetic algorithm‐based technique inductance characteristics light electric vehicles machine performances Matlab mean torque optimisation process optimised rotor design reluctance machines Research Article rotor architecture rotor skewing rotors stator stators synchronous reluctance machine geometry optimisation torque loss torque ripple reduction |
| Title | Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique |
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