High-precision non-linear modelling method for a switched reluctance linear machine by interpolation with using variant sigmoid function

被引:4
|
作者
Nie, Rui [1 ]
Chen, Hao [1 ]
Wang, Haiying [1 ]
Zhao, Shuyan [1 ]
Wang, Xing [2 ]
Pires, Vitor [3 ]
Martins, Joao [3 ]
Gorbounov, Yassen [4 ]
机构
[1] China Univ Min & Technol, Sch Elect & Power Engn, Jiangsu Prov Engn Lab High Efficient Energy Stora, Xuzhou, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Sch Management, Xuzhou, Jiangsu, Peoples R China
[3] Inst Politecn Setubal, Dept Engn Electrotecn, Escola Super Tecnol Setubal, Campus IPS, P-2914761 Estefanilha, Setubal, Portugal
[4] Univ Min & Geol St Ivan Rilski, Sofia 1700, Bulgaria
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
reluctance motors; finite element analysis; interpolation; Fourier series; linear machines; greater modelling precision; SRLM; high-precision nonlinear modelling method; switched reluctance linear machine; variant sigmoid function; high modelling precision; specific structural dimensions; accurate flux linkage data; interpolation process; Fourier series method; two-dimensional finite element method; POSITION ESTIMATION; MOTOR; ONLINE; DESIGN;
D O I
10.1049/iet-epa.2019.0563
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a non-linear modelling method for a switched reluctance linear machine (SRLM), which achieves high modelling precision while requiring no prior knowledge regarding the specific structural dimensions of an SRLM. The proposed modelling method provides accurate flux linkage data based on limited experimental measurements through an interpolation process using a variant sigmoid function. The accuracy of the interpolation process is further increased by considering mutual coupling among the three phases. The performance of the proposed method is validated experimentally by comparing it with the performances of the Fourier series method and the two-dimensional finite element method. The results demonstrate that the proposed method achieves greater modelling precision than the other methods considered in modelling an SRLM.
引用
收藏
页码:512 / 522
页数:11
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