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多目标遗传算法NSGA-Ⅱ在某双前桥转向机构优化设计中的应用 被引量:7

Application of Multi-Objective Genetic Algorithm NSGA-Ⅱ in Optimal Design on a Dual-Front-Axle Steering Mechanism
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摘要 针对东风某双前桥转向重型汽车在使用中存在的轮胎异常磨损问题,利用ADAMS/View软件建立了样车双前桥转向机构参数化仿真模型,基于选择的设计变量与目标函数,在iSIGHT软件中通过集成ADAMS/View模型,对设计变量进行了DOE分析,并利用改进的非支配排序遗传算法NSGA-Ⅱ实现了双前桥转向机构的多目标优化,根据Pareto最优解得到仿真结果表明:优化后各车轮转角误差大大减小,可有效解决车轮异常磨损问题。利用多目标遗传算法和计算机仿真集成技术对转向机构进行优化设计,可为今后汽车系统的设计、开发提供新的有效途径。 A imed on the tire abnormal wearing problem of a Dangfeng heavy vehicle with dual-front-axle steering system, the parametric simulation model of the dual-front-axle steering mechanism is established by using the ADAMS/View software. Based on the selected design variables and objective funetions, the DOE analysis of the design variables is done in iSIGHT software by integrating ADAMS/View model, and also the multi-objective optimization to the dual-front-axle steering mechanism is achieved by applying the improved non-dominated sorting genetic algorithm NSGA-II. According to the Pareto optimum solution, the simulation results show that the wheel angle error is decreased greatly after the optimization, so the tire abnormal wearing problem is solved effectively. The application of multi-objective genetic algorithm and computer simulation and integration technology in optimal design on the steering mechanism provides a ~w and effective path to design and develop the automotive system.
出处 《机械设计与制造》 北大核心 2015年第11期140-143,共4页 Machinery Design & Manufacture
基金 湖北省教育厅科学研究重点项目(D20122302) 武汉理工大学汽车零部件技术湖北省重点实验室开放基金项目(2014-08)
关键词 双前桥转向机构 多目标优化设计 NSGA-Ⅱ遗传算法 iSIGHT集成 GENETIC ALGORITHM NSGA-Ⅱ Dual-Front-Axle Steering Mechanism Multi-Objective Optimal Design Genetic Algorithm NSGA-H ADAMS/View iSIGHT Integration
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