基于遗传算法和Taguchi法的Fa-SynRM多目标优化设计  

Fa-SynRM Multi-Objective Optimization Design Based on Genetic Algorithm and Taguchi Method

作　　者：董砚[1] 郭瑾 荆锴[1] 孙鹤旭[1] Dong Yan;Guo Jin;Jing Kai;Sun Hexu(School of Control Science and Engineering Hebei University of Technology,Tianjin 300130 China)

机构地区：[1]河北工业大学控制科学与工程学院,天津300130

出　　处：《电工技术学报》2019年第24期5059-5069,共11页Transactions of China Electrotechnical Society

基　　金：河北省高等学校科学技术研究(QN2017313);河北省科技计划(16214510D)资助项目。

摘　　要：该文首先分析铁氧体辅助式同步磁阻电机的数学模型,并利用等效磁路法分析电机的物理模型,从而得到凸极比与电机结构参数之间的关系表达式。然后以功率因数为主要目标函数,利用遗传算法优化设计铁氧体长宽尺寸和电流角等电机参量,再通过Taguchi法和有限元法相结合的方法继续优化电机参量,得到相关参数的最佳组合值,进一步提高电机功率因数,减少转矩脉动和铁氧体体积。最后,通过仿真实验验证了优化过程的合理性和优化结果的准确性,以及裂比系数对电机性能的影响。该方法降低了运算难度和成本,有效提高了功率因数,减少了转矩脉动和铁氧体体积。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.

关 键 词：铁氧体辅助式同步磁阻电机 功率因数 转矩脉动 遗传算法 Taguchi法 

分 类 号：TM302[电气工程—电机]