Analysis and multi-objective optimization design of sinusoidal DSEM with two different excitation modes based on Gray-Fuzzy-Taguchi method
The nonlinearity of sinusoidal doubly salient electro-magnetic machine (SDSEM) leads to the fuzzy optimization range of its design parameters. And there is a conflict problem in multiple optimization objectives. Therefore, the multi-objective optimization of SDSEM with two different excitation modes...
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Published in | Computers & electrical engineering Vol. 117; p. 109251 |
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Format | Journal Article |
Language | English |
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01.07.2024
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Abstract | The nonlinearity of sinusoidal doubly salient electro-magnetic machine (SDSEM) leads to the fuzzy optimization range of its design parameters. And there is a conflict problem in multiple optimization objectives. Therefore, the multi-objective optimization of SDSEM with two different excitation modes is carried out based on the Gray-Fuzzy-Taguchi method. Firstly, the proposed sinusoidal method of square wave back electromotive force (EMF) phase modulation is introduced. And the key parameters to improve the symmetry and sinusoidal degree of the back EMF waveform are pointed out. Then, the sensitivity of key parameters is analyzed and the signal-to-noise (S/N) ratio is calculated by Taguchi orthogonal test. Secondly, the S/N ratio is linearly normalized by grey correlation analysis. Then, fuzzy reasoning is used to synthesize multiple performance indexes of the motor into a multiple performance characteristics index (MPCI) value, and the optimal scheme is obtained. Finally, the optimized SDSEM with concentrated magneto-motive forces (SDSEM-CF) and SDSEM with distributed magneto-motive forces (SDSEM-DF) are simulated and compared. The SDSEM-DF prototype is developed and verified by experiments. The results show that the no-load back EMF of the prototype has a good sinusoidal degree. Based on vector control, the sinusoidal drive of DSEM is realized without increasing the control complexity, which greatly reduces the torque ripple of the flux reluctance motor. |
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AbstractList | The nonlinearity of sinusoidal doubly salient electro-magnetic machine (SDSEM) leads to the fuzzy optimization range of its design parameters. And there is a conflict problem in multiple optimization objectives. Therefore, the multi-objective optimization of SDSEM with two different excitation modes is carried out based on the Gray-Fuzzy-Taguchi method. Firstly, the proposed sinusoidal method of square wave back electromotive force (EMF) phase modulation is introduced. And the key parameters to improve the symmetry and sinusoidal degree of the back EMF waveform are pointed out. Then, the sensitivity of key parameters is analyzed and the signal-to-noise (S/N) ratio is calculated by Taguchi orthogonal test. Secondly, the S/N ratio is linearly normalized by grey correlation analysis. Then, fuzzy reasoning is used to synthesize multiple performance indexes of the motor into a multiple performance characteristics index (MPCI) value, and the optimal scheme is obtained. Finally, the optimized SDSEM with concentrated magneto-motive forces (SDSEM-CF) and SDSEM with distributed magneto-motive forces (SDSEM-DF) are simulated and compared. The SDSEM-DF prototype is developed and verified by experiments. The results show that the no-load back EMF of the prototype has a good sinusoidal degree. Based on vector control, the sinusoidal drive of DSEM is realized without increasing the control complexity, which greatly reduces the torque ripple of the flux reluctance motor. |
ArticleNumber | 109251 |
Author | Liu, Junzhe Xu, Xiaozhuo Wang, Jiyong Jiang, Siyuan Gao, Mengzhen Feng, Haichao |
Author_xml | – sequence: 1 givenname: Siyuan surname: Jiang fullname: Jiang, Siyuan organization: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China – sequence: 2 givenname: Mengzhen surname: Gao fullname: Gao, Mengzhen organization: School of Electric Power Engineering, South China University of Technology, Guangdong, Guangzhou 510641, China – sequence: 3 givenname: Jiyong surname: Wang fullname: Wang, Jiyong organization: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China – sequence: 4 givenname: Junzhe surname: Liu fullname: Liu, Junzhe organization: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China – sequence: 5 givenname: Haichao surname: Feng fullname: Feng, Haichao organization: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China – sequence: 6 givenname: Xiaozhuo surname: Xu fullname: Xu, Xiaozhuo email: jsy@hpu.edu.cn organization: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China |
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Cites_doi | 10.1109/TTE.2021.3062855 10.1109/TMAG.2014.2364264 10.1109/TIE.2012.2203773 10.1109/TIE.2020.3045698 10.1109/TMAG.2010.2040250 10.1109/TIA.2014.2311503 10.1109/TIA.2017.2694798 10.1109/TEC.2010.2090156 10.1109/TIE.2017.2739685 10.1109/TIA.2014.2315505 10.1109/TIE.2019.2921299 10.1109/TIA.2006.870031 10.1049/iet-epa.2016.0338 10.1109/TASC.2018.2882426 10.1109/TPEL.2019.2949095 10.1109/TIA.2018.2888804 10.1109/TIA.2020.2979784 10.1109/TEC.2015.2470122 10.1109/TIE.2020.3003596 10.1109/TMAG.2012.2228213 10.1109/TPEL.2021.3119697 |
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Keywords | Doubly salient electro-magnetic machine Multi-objective optimization Gray-Fuzzy-Taguchi method Sinusoidal design Torque ripple |
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Snippet | The nonlinearity of sinusoidal doubly salient electro-magnetic machine (SDSEM) leads to the fuzzy optimization range of its design parameters. And there is a... |
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SubjectTerms | Doubly salient electro-magnetic machine Gray-Fuzzy-Taguchi method Multi-objective optimization Sinusoidal design Torque ripple |
Title | Analysis and multi-objective optimization design of sinusoidal DSEM with two different excitation modes based on Gray-Fuzzy-Taguchi method |
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