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基于不确定性和隔代遗传的矿用车平顺性优化
引用本文:李伟平,张利轩,马义超,唐伟.基于不确定性和隔代遗传的矿用车平顺性优化[J].湖南大学学报(自然科学版),2012,39(6):47-52.
作者姓名:李伟平  张利轩  马义超  唐伟
作者单位:湖南大学汽车车身先进设计制造国家重点实验室;湘电风能研究所技术支持中心
基金项目:湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(61075001)
摘    要:建立了八自由度的矿用自卸车整车数学模型,并基于动态仿真模型构建设计变量和不确定变量与目标函数之间的近似模型,采用双层嵌套的隔代遗传算法,内层在不确定域上求解目标函数区间,外层对设计变量寻优,对该模型进行平顺性优化.最后与确定优化的结果进行比较,得出了不确定性优化的优越性.

关 键 词:不确定性  平顺性  隔代遗传  近似模型

Ride Comfort Optimization of Mine Truck Based on Uncertainty Theory and IP-GA
LI Wei-ping,ZHANG Li-xuan,MA Yi-chao,TANG Wei.Ride Comfort Optimization of Mine Truck Based on Uncertainty Theory and IP-GA[J].Journal of Hunan University(Naturnal Science),2012,39(6):47-52.
Authors:LI Wei-ping  ZHANG Li-xuan  MA Yi-chao  TANG Wei
Institution:1.State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan Univ,Changsha, Hunan 410082,China; 2.Technical Center of XEMC Windpower,Xiangtan,Hunan 411100,China)
Abstract:A vehicle model of eight degrees of freedom was established.Then,based on dynamic simulation model,an approximate model between design variables,uncertain variables and objective function was built.Using double-nested IP-GA,the ride comfort of the model was improved.For IP-GA,the interval of objective function was obtained through the inner layer while the optimal variable was searched through the outer layer.Finally,the results were compared with those of certain optimization,which has shown the superiority of uncertain optimization.
Keywords:uncertainty  ride comfort  IP-GA  surrogate model
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