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基于联合仿真的汽车稳健性优化设计

Automotive Robustness Optimization Design Based on Joint Simulation
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摘要 针对传统汽车操稳性能较低导致汽车稳健性效果较差的问题,基于ADAMS多体动力学软件和MATLAB联合仿真平台,构建一个目标车辆的整车动力学模型,对整车参数进行计算后;根据整车参数确定整车模型的目标函数;然后利用灵敏度分析方法搜索出整车参数的设计变量,并基于设计变量利用Pointer优化器算法对整车模型进行优化求解;最后采用田口方法进行汽车稳健性优化试验分析。仿真结果表明,在无噪音环境下,相较于优化前的结果,提出Pointer优化算法的客观评价值由60.01、92.2、74.44提升至71.4、99.6、80.82,分别提升了11.39、7.4和6.38。而在有噪音环境下,采用的田口方法的稳健性分别提升了3.62、4.83和6.14。由此可知提出的方法能够提升汽车整车模型的稳健性,汽车稳健性优化效果显著。 According to the poor robustness due by low stability performance, a vehicle dynamics model is constructed based on ADAMS multi-body dynamics software and MATLAB joint simulation platform to calculate the vehicle parameters, determine the target function of the vehicle parameters, and then optimize and solve the vehicle model.Simulation results show that, compared with the results before the optimization, the objective evaluation value of the Pointer optimization algorithm is increased from 60.01,92.2, and 74.44 to 71.4,99.6, and 80.82, up by 11.39,7.4, and 6.38, respectively. But the robustness of the Tiankou method was increased by 3.62,4.83 and 6.14, respectively. Therefore, the method proposed in this paper can improve the robustness of the vehicle model, and the vehicle robustness optimization effect is significant.
作者 刘丹 LIU Dan(Shaanxi National Defense Industry Vocational Technical College,Xi’an 710300,China)
出处 《自动化与仪器仪表》 2022年第12期216-221,共6页 Automation & Instrumentation
基金 校级教育教学项目《陕西国防工业职业技术学院2020年度科研项目》(Gfy20-29)。
关键词 联合仿真 ADAMS 稳健性优化 POINTER 整车模型 joint simulation ADAMS robustness optimization pointer vehicle model
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