Abstract：Firstly, the paper analyzed the mathematical model of ferrite-assisted synchronous reluctance motor, and used the equivalent magnetic circuit method to analyze the physical model of the motor, so as to obtain the expression of the relationship between salient pole ratio and motor structural parameters. Then using the power factor as the main objective function, the genetic algorithm was used to optimize the design of the motor parameters, such as the length and width of the ferrite, and the current angle. After that, through the combination of Taguchi method and finite element method, the motor parameters were continuously optimized, and the optimal combination of relevant parameters was obtained. The motor power factor was further improved, the torque ripple and the ferrite volume were reduced. Finally, simulations verified the rationality of the optimization process, the accuracy of the optimization results, and the influence of the split ratio coefficient on the performance. The method could reduce the computational difficulty and cost, effectively improves the power factor, and reduces torque ripple and ferrite volume.
[1] Marco F, Nicola B, Emanuele F.Rotor saturation impact in synchronous reluctanceand PM assisted reluctance motors[C]//2013 IEEE Energy Conversion Congress and Exposition, Denver, USA, 2013: 1235-1242. [2] Dany Prieto, Philippe Dessante, Jean-Claude Vannier, et al.Multi-physic analytical model for a saturated permanent magnet assisted synchronous reluctance motor[J]. IET Electric Power Applications, 2016, 10(5): 356-367. [3] Wang Yi, Dan M Ionel, Jiang Minjie, et al.Establishing the relative merits of synchronous reluctance and PM-assisted technology through systematic design optimization[J]. IEEE Transactions on Industry Applications, 2016, 52(4): 2971-2978. [4] Wang Yawei, Giacomo Bacco, Nicola Bianchi.Geometry analysis and optimization of PM-assisted reluctance motors[J]. IEEE Transactions on Industry Applications, 2017, 53(5): 4338-4347. [5] 仇一鸣, 康琦, 汪镭, 等. 同步磁阻电机dq轴交叉耦合饱和电感模型参数寻优方法[J]. 电工技术学报, 2017, 32(4): 21-25. Qiu Yiming, Kang Qi, Wang Lei, et al.A parameter optimization method for dq axis inductance model of synchronous reluctance motors considering cross- coupling magnetic saturation[J]. Transactions of China Electrotechnical Society, 2017, 32(4): 21-25. [6] 董砚, 颜冬, 荆锴, 等. 磁障渐变同步磁阻电机低转矩脉动转子优化设计[J]. 电工技术学报, 2017, 32(19): 21-31. Dong Yan, Yan Dong, Jing Kai, et al.Rotor optimal design of the gradient flux-barrier for torque ripple reduction in synchronous reluctance motor[J]. Transactions of China Electrotechnical Society, 2017, 32(19): 21-31. [7] Guan Yang, Zhu Ziqiang, Afinowi I A A, et al. Design of synchronous reluctance and permanent magnet synchronous reluctance machines for electric vehicle application[C]//17th International Conference on Electrical Machines and Systems (ICEMS), Hangzhou, China, 2014, DOI: 10.1109/ICEMS.2014. 7013785. [8] Zhao Wenliang, Chen Dezhi, Thomas A Lipo, et al.Performance improvement of ferrite-assisted synchronous reluctance machines using asymmetrical rotor configurations[J]. IEEE Transactions on Magnetics, 2015, 51(11): 1. [9] Liu Huaicong, In-Gun Kim, Ye Jun Oh, et al.Design of permanent magnet-assisted synchronous reluctance motor for maximized back-EMF and torque ripple reduction[J]. IEEE Transactions on Magnetics, 2017, 53(6): 1. [10] 宋受俊, 葛乐飞, 刘虎威, 等. 开关磁阻电机设计及多目标优化方法[J]. 电工技术学报, 2014, 29(5): 197-204. Song Shoujun, Ge Lefei, Liu Huwei, et al.Design and multi-objective optimization method of switched reluctance machines[J]. Transactions of China Electrotechnical Society, 2014, 29(5): 197-204. [11] Sujin Lee, Kyuseob Kim, Sugil Cho, et al.Optimal design of interior permanent magnet synchronous motor considering the manufacturing tolerances using Taguchi robust design[J]. IET Electric Power Appli- cations, 2014, 8(1): 23-28. [12] 兰志勇, 杨向宇, 王芳媛. Taguchi方法在内嵌式正弦波永磁同步电机优化设计中的应用[J]. 电工技术学报, 2011, 26(12): 37-42. Lan Zhiyong, Yang Xiangyu, Wang Fangyuan.Application of Taguchi method in the optimization design of embedded sinusoidal permanent magnet synchronous motor[J]. Transactions of China Elec- trotechnical Society, 2011, 26(12): 37-42. [13] 时统宇, 王大志, 李召. 基于多种群遗传算法的永磁涡流驱动器的多目标优化设计[J]. 电工技术学报, 2016, 31(2): 262-268. Shi Tongyu, Wang Dazhi, Li Zhao.Multi-objective optimization design of permanent magnet eddy current driver based on multigroup genetic algo- rithm[J]. Transactions of China Electrotechnical Society, 2016, 31(2): 262-268. [14] 徐群伟, 徐鹏, 陈冬冬, 等. 基于多目标四维可视化算法的有源电力滤波器滤波电感优化设计[J]. 电工技术学报, 2016, 31(2): 49-57. Xu Qunwei, Xu Peng, Chen Dongdong, et al.Optimized design for the inductor of shunt active power filter based on multi-objective 4-D visuali- zation algorithm[J]. Transactions of China Electro- technical Society, 2016, 31(2): 49-57. [15] 江卓翰, 何禹清, 曹丽璐, 等. 基于改进遗传算法的含分布式电源和储能装置配电系统网络重构[J].电力系统保护与控制, 2018, 46(5): 68-72. Jiang Zhuohan, He Yuqing, Cao Lilu, et al.Recon- figuration of distribution network with distributed generations and energy storing device based on improved genetic algorithm[J]. Power System Protection and Control, 2018, 46(5): 68-72. [16] 关昊亮, 王进华, 邱伟有. 利用多目标最优化方法控制智能电网中电动汽车充电速率[J]. 电气技术, 2017, 18(12): 76-80. Guan Haoliang, Wang Jinhua, Qiu Weiyou.Multi- objective optimization based charging strategy for electric vehicle in smart grid[J]. Electrical Engin- eering, 2017, 18(12): 76-80. [17] Wang Yawei, Giacomo Bacco, Nicola Bianchi.Geometry analysis and optimization of PM-assisited reluctance motor[J]. IEEE Transactions on Industry Applications, 2017, 53(5): 4338-4347.
2019, Vol. 34 
