Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

中国电气工程学报（英文） ›› 2018, Vol. 4 ›› Issue (1): 67-73.

出版日期:2018-03-25 发布日期:2019-10-31

Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

Jikai Si^1,*, Suzhen Zhao¹, Haichao Feng¹, Ruiwu Cao², Yihua Hu3

1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China;
2. School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
3. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK

Online:2018-03-25 Published:2019-10-31
Contact: * Email: sijikai527@126.com.
About author:Jikai Si received the B.S. degree in electrical engineering and automation from the Jiaozuo Institute of Technology, Jiaozuo, China, in 1998; the M.S. degree in electrical engineering from Henan Polytechnic University, Jiaozuo, China, in 2005; and the Ph.D. degree in 2008 from the School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China, in 2008. He is currently a professor at Henan Polytechnic University. His main research interests include the theory, application, and control of special motor. He has authored and co-authored over 90 technical papers in these areas. Dr. Si is a Member of the Institute of Linear Electric Machine and Drives, Henan Province, China. Suzhen Zhao received B.S. degree from Henan Polytechnic University, Jiaozuo, China, in 2015. She is currently pursuing the M.S. degree in electrical engineering. Her research interests include modeling and characteristic analysis of special motors. Haichao Feng was born in China, in 1983. He received the B.S. and M.S. degrees in electrical engineering and automation, control theory, and control engineering from the School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China, in 2005 and 2008, respectively. He is a Teacher at the School of Electrical Engineering and Automation, Henan Polytechnic University. In recent years, he has participated in eight provincial and three country research projects, and has published more than eight academic papers. His research interests include the optimization design of linear and rotary machines, power electronics, and their controls. Mr. Feng is a Member of the Institute of Linear Electric Machine and Drives, Henan Province, China. Ruiwu Cao (S'10) received the B.S. degree in electrical engineering from Yancheng Institute of Technology, Yancheng, China, in 2004 and the M.S. degree in electrical engineering from Southeast University, Nanjing, China, in 2007, where he has been working toward the Ph.D. degree in electrical engineering since 2009. From 2007 to 2009, he was a Hardware Electrical Engineer with the Electronic Drive System R&D Center, BSH Electrical Appliances(Jiangsu) Company, Ltd. From August 2010 to November 2011, he was a joint Ph.D. student funded by the China Scholarship Council with the College of Electrical and Computer Science, University of Michigan, Dearborn, where he worked on permanent-magnet(PM) motors for electric vehicle (EV), hybrid EV(HEV), and plug-in HEV applications. His areas of interest include design, analysis, and control of PM machines. Yihua Hu (M’13-SM’15) received the B.S. degree in electrical motor drives and the Ph.D. degree in power electronics and drives from the China University of Mining and Technology, Jiangsu, China, in 2003 and 2011, respectively. From 2011 to 2013, he was with the College of Electrical Engineering, Zhejiang University, as a Postdoctoral Fellow. From 2012 to 2013, he was an Academic Visiting Scholar with the School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, U.K. From 2013 to 2015, he was a Research Associate with the Power Electronics and Motor Drive Group, University of Strathclyde. He is currently a Lecturer with the Department of Electrical Engineering and Electronics, University of Liverpool. He has published over 60 peer-reviewed technical papers in leading journals. His research interests include PV generation system, power electronics converters and control, and electrical motor drives.
Supported by:
Supported by National Natural Science Foundation of China (U1361109, 51777060) and Natural Science Foundation of Henan province (162300410117).

摘要/Abstract

Abstract: The surface-mounted and interior permanent magnet synchronous motor(SIPMSM) has the characteristics of multiple variables, strong coupling and nonlinearity. In order to improve the performance of SIPMSM, this paper presents a multi-objective optimal design process using Taguchi and response surface methodology(RSM). The peak value of cogging torque(PVCT), ratio value of average torque and permanent magnet weight(RTW), torque ripple and back-EMF total harmonics distortion(ETHD) are selected as optimization goals. The experiment matrix is established by Taguchi method, and analyzed the tendency and proportion of the effect of the optimization parameters on SIPMSM performance. The rules of choosing multi-objective optimization parameters are obtained. The least-squares method is used to establish the optimal objective function, and RSM is used to obtain the resolutions of the optimization objective function. Comparing the initial performance with optimized performance verifies the effectiveness of the proposed method.

Key words: Surface-mounted and interior permanent magnet synchronous motor(SIPMSM), multi-objective optimization, Taguchi, response surface methodology(RSM), least-square method

. [J]. 中国电气工程学报（英文）, 2018, 4(1): 67-73.

Jikai Si, Suzhen Zhao, Haichao Feng, Ruiwu Cao, Yihua Hu. Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method[J]. Chinese Journal of Electrical Engineering, 2018, 4(1): 67-73.

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Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

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