基于遗传算法的车用永磁式缓速器设计优化方法  

GENETIC ALGORITHM BASED METHOD OF DESIGN OPTIMIZATION OF PERMANENT MAGNET RETARDER

作　　者：黄亦其[1] 姬长英[1] 周俊[1] 赵小波[1] 

机构地区：[1]南京农业大学工学院

出　　处：《机械强度》2008年第4期612-616,共5页Journal of Mechanical Strength

摘　　要：永磁式缓速器是一种新型行车辅助制动装置。提出永磁式缓速器的多学科概念分析模型,分析电磁场参数、结构参数和温度参数等多学科对缓速器整体性能的影响;以缓速器的制动力矩最大为优化目标,设计变量包括永磁体周向宽度和轴向长度、永磁体个数、转子鼓内半径、转子鼓厚度、气隙。约束条件是许用温升、软磁材料饱和磁通量密度和结构几何关系。利用遗传算法对设计模型进行全局优化,获得初步的设计变量优化数值。文中的多学科设计优化方法是有效的,可用于工程设计。Permanent magnet retarder is a new auxiliary braking device. The basic structure and new auxiliary braking mechanism of permanent magnet retarder was analyzed. The multidisciplinary conceptual model was proposed. The influences of magnetic field parameters, structural design parameters, rotor parameters and permanent magnet temperature parameters on the behaviors performance of the permanent magnet retarder were discussed. The muhidisciplinary conceptual model of permanent magnet retarder is developed for maximizing the brake torque of the permanent magnet retarder. The results of design optimization variables were obtained by applying genetic algorithm. The method is effective for the global design optimization of the retarder. The method can be used to practice engineering design.

关 键 词：遗传算法 多学科 永磁式缓速器设计优化 

分 类 号：U463.25[机械工程—车辆工程]