基于遗传算法对车辆振动模型目标函数的优化及仿真研究  

Optimization and Simulation of the Objective Function of Vehicle Vibration Model Based on Genetic Algorithm

作　　者：郭伟东[1] 

机构地区：[1]南京交通职业技术学院,南京211188

出　　处：《现代制造技术与装备》2015年第6期13-16,18,共5页Modern Manufacturing Technology and Equipment

摘　　要：本文从遗传算法的角度出发,对车辆振动模型的目标函数进行优化,并与以前研究理论成果进行对比分析。首先,分析了目标函数的遗传算法程序,同时考虑车辆振动模型中的相关函数;其次,创建车辆振动模型,对相关目标函数进行优化,采取2-目标,优化车辆的前轮速度、后轮速度、座椅加速度、簧载质量、前轮的相对位移及后轮的相对位移;最后,采用matlab软件,对目标优化处理结果进行仿真,并与以前的仿真结果进行对比分析。优化后仿真结果显示,采取多目标遗传算法对车辆振动模型进行优化后,车辆行驶过程中经过地面障碍物时,座椅振动相对较小,舒适性良好。This article from the perspective of genetic algorithms,the objective function of optimization of vehicle vibration model. Meanwhile,theoretical results and previous studies were analyzed. Firstly,we are given the genetic algorithm program objective function of vehicle vibration model,taking into account the correlation function. Next,create a vehicle vibration model,while optimizing the objective function of correlation,taking 2- objective optimization front wheel speed of the vehicle,the rear wheel velocity,acceleration of the seat,sprung mass,relative displacement of the relative displacement of the front wheels and the rear wheels. Finally,the goal of optimizing the results by matlab software simulation,the simulation results with previous results were analyzed. After optimization simulation results show that adopt a multi-objective genetic algorithm to optimize the vehicle vibration model,after the vehicle during the ground obstacles,seat vibration is relatively small,comfortable and good.

关 键 词：遗传算法 车辆振动 优化 仿真 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U461.4[自动化与计算机技术—控制科学与工程]