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| Multi-Level Multi-Objective Optimization Algorithm for Linear Induction Motor Applied to Urban Transit Considering Converter Hamonics |
| Xu Wei1, Xiao Xinyu1, Dong Dinghao1, Tang Yirong1, Shangguang Yongdao1, Huang Shoudao2, Gao Jian2 |
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China;
2. College of Electrical and Information Engineering Hunan University Changsha 410082 China |
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Abstract Due to the inherent large air gap, end effect and inverter harmonics,the linear induction motor (LIM) applied in rail transit has great difficulty to obtain high efficiency and power factor. In order to overcome related problems, a multi-level and multi-objective optimization method considering the influence of inverter harmonics is proposed in this paper. First of all, based on the traditional fundamental equivalent circuit, the harmonic analysis model of the LIM considering the influence of converter is established, and the analytical expression of the optimization objective is obtained. Then, through the sensitivity analysis of the motor parameters, seven main parameters are identified and used as subsequent optimization variables for the LIM drive. Furthermore, in order to reduce the optimization time and improve the optimization effect, the primary and secondary variables that affect the motor performance are found through Pearson coefficient correlation analysis and variance analysis, so that the single-level optimization problem is transformed into a multi-level optimization problem. Comprehensive simulation and experimental results have shown that the LIM based on the proposed optimization method in this paper can improve the efficiency and power factor by about 5.0% and 12.7%, respectively.
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Received: 05 September 2021
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2022, Vol. 37 
