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作 者:徐伟[1] 肖新宇 董定昊 唐一融 上官用道 黄守道[2] 高剑[2] Xu Wei;Xiao Xinyu;Dong Dinghao;Tang Yirong;Shangguang Yongdao;Huang Shoudao;Gao Jian(State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology,Wuhan 430074 China;College of Electrical and Information Engineering Hunan University,Changsha 410082 China)
机构地区:[1]强电磁工程与新技术国家重点实验室(华中科技大学),武汉430074 [2]湖南大学电气与信息工程学院,长沙410082
出 处:《电工技术学报》2022年第5期1157-1170,共14页Transactions of China Electrotechnical Society
基 金:国家自然科学基金(51877093);国家重点研发计划金砖国际合作重点项目(2018YFE0100200);湖北省重大科技创新项目(2019AAA026)资助。
摘 要:由于轨道交通用直线感应电机固有的大气隙、端部效应和逆变器谐波等影响,该类电机难以获得较高的效率和功率因数。为克服相关问题,该文提出一种考虑逆变器谐波影响的多层次多目标优化方法。首先,基于传统的基波等效电路,建立考虑逆变器影响的直线感应电机谐波解析模型,进而得到优化目标函数的解析表达式;随后,通过对电机参数敏感性进行分析,明确了七个主要的参数,并将其作为后续的优化变量;然后,为减少优化时间和提高优化效果,该文对皮尔逊系数和方差进行了深入研究,找出了影响电机性能的主要和次要变量,从而将单层优化转化为多层优化;最后,大量仿真和实验结果表明,基于该文优化方法得到的直线感应电机可以提升效率和功率因数约5.0%和12.7%。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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