An Alternate Rotor Geometry for Switched Reluctance Machine With Reduced Torque Ripple
Switched Reluctance Motor (SRM) benefits from a simple, low cost, and robust structure. However, it exhibits high levels of torque ripple and vibration due to its non-uniform distribution of the flux and force densities in the air gap. To address this problem, a novel rotor with optimally designed f...
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| Veröffentlicht in: | IEEE transactions on energy conversion 2023-06, Vol.38 (2), p.939-947 |
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| container_title | IEEE transactions on energy conversion |
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| creator | Mohammadi, Seyed Ehsan Movahed Chen, Pengyuan Moallem, Mehdi Fahimi, Babak Kiani, Morgan |
| description | Switched Reluctance Motor (SRM) benefits from a simple, low cost, and robust structure. However, it exhibits high levels of torque ripple and vibration due to its non-uniform distribution of the flux and force densities in the air gap. To address this problem, a novel rotor with optimally designed flux barriers has been designed to be used along with a conventional SRM stator. In this paper, an optimization algorithm comprised of Genetic Algorithm (GA) and Finite Element Analysis (FEA) has been used to identify the best rotor geometry for maintaining average torque while minimizing torque ripple and tangential vibration of the stator. The performance of the optimized motor is then compared with a conventional SRM of the same size experimentally. The results show significant improvement in torque ripple as well as vibration for the new topology with no tangible drop in efficiency at high speeds. |
| doi_str_mv | 10.1109/TEC.2022.3229999 |
| format | Article |
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However, it exhibits high levels of torque ripple and vibration due to its non-uniform distribution of the flux and force densities in the air gap. To address this problem, a novel rotor with optimally designed flux barriers has been designed to be used along with a conventional SRM stator. In this paper, an optimization algorithm comprised of Genetic Algorithm (GA) and Finite Element Analysis (FEA) has been used to identify the best rotor geometry for maintaining average torque while minimizing torque ripple and tangential vibration of the stator. The performance of the optimized motor is then compared with a conventional SRM of the same size experimentally. The results show significant improvement in torque ripple as well as vibration for the new topology with no tangible drop in efficiency at high speeds.</description><identifier>ISSN: 0885-8969</identifier><identifier>EISSN: 1558-0059</identifier><identifier>DOI: 10.1109/TEC.2022.3229999</identifier><identifier>CODEN: ITCNE4</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Air gaps ; Electric motors ; Finite element method ; Genetic algorithms ; Optimization ; Reluctance machinery ; Reluctance motors ; Ripples ; rotor configuration ; Rotors ; Stators ; Topology ; Torque ; Torque measurement ; torque ripple ; Vibration</subject><ispartof>IEEE transactions on energy conversion, 2023-06, Vol.38 (2), p.939-947</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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However, it exhibits high levels of torque ripple and vibration due to its non-uniform distribution of the flux and force densities in the air gap. To address this problem, a novel rotor with optimally designed flux barriers has been designed to be used along with a conventional SRM stator. In this paper, an optimization algorithm comprised of Genetic Algorithm (GA) and Finite Element Analysis (FEA) has been used to identify the best rotor geometry for maintaining average torque while minimizing torque ripple and tangential vibration of the stator. The performance of the optimized motor is then compared with a conventional SRM of the same size experimentally. The results show significant improvement in torque ripple as well as vibration for the new topology with no tangible drop in efficiency at high speeds.</description><subject>Air gaps</subject><subject>Electric motors</subject><subject>Finite element method</subject><subject>Genetic algorithms</subject><subject>Optimization</subject><subject>Reluctance machinery</subject><subject>Reluctance motors</subject><subject>Ripples</subject><subject>rotor configuration</subject><subject>Rotors</subject><subject>Stators</subject><subject>Topology</subject><subject>Torque</subject><subject>Torque measurement</subject><subject>torque ripple</subject><subject>Vibration</subject><issn>0885-8969</issn><issn>1558-0059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UFFLwzAQDqLgnL4LvgR87rwkTZs8jjGnMBHm1MeQZlfW0bU1TZH9ezM2vJfj7vvuO76PkHsGE8ZAP63nswkHzieCcx3rgoyYlCoBkPqSjEApmSid6Wty0_c7AJZKzkbka9rQaR3QNzYgXbWh9XSB7R6DP9AyDh-_VXBb3NAV1oMLtnFI36zbVg3S7yps434zuIivW_8zRImq62q8JVelrXu8O_cx-Xyer2cvyfJ98TqbLhPHNQsJKqvS1KaZsJIrxaXmZQ5aaF7kQqVZnmVsoyQIawWkBYJIi0JZbXlxdABiTB5Pup1v4_c-mF07RC91b7hiSuRMSBVZcGI53_a9x9J0vtpbfzAMzDE9E9Mzx_TMOb148nA6qRDxnx4RBpKJP9xNaRk</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Mohammadi, Seyed Ehsan Movahed</creator><creator>Chen, Pengyuan</creator><creator>Moallem, Mehdi</creator><creator>Fahimi, Babak</creator><creator>Kiani, Morgan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, it exhibits high levels of torque ripple and vibration due to its non-uniform distribution of the flux and force densities in the air gap. To address this problem, a novel rotor with optimally designed flux barriers has been designed to be used along with a conventional SRM stator. In this paper, an optimization algorithm comprised of Genetic Algorithm (GA) and Finite Element Analysis (FEA) has been used to identify the best rotor geometry for maintaining average torque while minimizing torque ripple and tangential vibration of the stator. The performance of the optimized motor is then compared with a conventional SRM of the same size experimentally. 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| source | IEEE Electronic Library (IEL) |
| subjects | Air gaps Electric motors Finite element method Genetic algorithms Optimization Reluctance machinery Reluctance motors Ripples rotor configuration Rotors Stators Topology Torque Torque measurement torque ripple Vibration |
| title | An Alternate Rotor Geometry for Switched Reluctance Machine With Reduced Torque Ripple |
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