摘要
应用四轮相关的时域路面随机输入模型的不平度时间序列 ,对轻型客车的八自由度非线性平顺性模型进行了分析研究 ,并将计算出的平顺性指标作为输入 ,以径向基函数神经网络对后悬架参数进行了优化计算。算法准确 ,合理 。
In this paper,a four wheel input road random roughness model in time domain is set up and an analytical study is carried out on the 8 DOF nonlinear dynamic model for the light bus Then the calculated ride comfort parameters are input into the neural network with radial basic function for optimizing the rear suspension parameters The algorithm is accurate and reasonable,which provides a new method for further study on ride comfort of the vehicle
出处
《汽车工程》
EI
CSCD
北大核心
2003年第2期190-192,197,共4页
Automotive Engineering
