基于NSGA-Ⅲ的开关磁阻发电机多目标优化设计  

Multi-objective Optimization Design of Switched Reluctance Generator Bsed on NSGA-Ⅲ

作　　者：李洁 李艺辉 刘作军 LI Jie;LI Yihui;LIU Zuojun(School of Artificial Intelligence, Hebei University of Technology, Tianjin 300132, China)

机构地区：[1]河北工业大学人工智能与数据科学学院,天津300132

出　　处：《微电机》2020年第8期5-10,44,共7页Micromotors

基　　金：河北省高等学校科学技术研究指导项目(Z2014025)。

摘　　要：为了减小开关磁阻发电机转矩脉动、提高发电机运行效率及功率密度,提出一种基于改进非支配排序遗传算法的开关磁阻发电机的多目标优化方法。搭建1kW四相8/6极SRG多目标优化设计模型,通过开关磁阻发电机参数化分析确定优化变量;基于响应面法搭建开关磁阻发电机优化目标函数的响应面模型;采用NSGA-Ⅲ优化算法对开关磁阻发电机的结构参数和控制参数进行优化,通过改进的精英策略全局寻优得到Pareto最优解集。通过仿真实验对比开关磁阻发电机优化前后的运行性能,验证了所提优化方法的有效性。A multi-objective optimization approach based on non-dominated sorting genetic algorithm with reference point(NSGA-Ⅲ)was proposed to reduce torque ripple,increase efficiency and output power density of switched reluctance generator(SRG).The optimal model of 1kW four-phase 8/6 pole SRG was constructed,optimal objectives and variables were studied by parametric analysis.Then,the response surface models of SRG optimization objectives were established by using response surface methodology(RSM).Optimal Pareto sets of SRG optimization were obtained based on improved elitist NSGA-III.The validity and feasibility of the proposed multi-objective optimization design method was proved by the SRG's finite element simulation results.

关 键 词：开关磁阻发电机 响应面法 NSGA-Ⅲ 多目标优化 

分 类 号：TM352[电气工程—电机]