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基于神经网络的轻型客车悬架参数的优化
引用本文:段敏,张立军,石晶,王岩松,耿艾莉.基于神经网络的轻型客车悬架参数的优化[J].汽车工程,2003,25(2):190-192,197.
作者姓名:段敏  张立军  石晶  王岩松  耿艾莉
作者单位:辽宁工学院,锦州,121001
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,为平顺性的进一步研究提供了新的方法。

关 键 词:神经网络  轻型客车  悬架参数  优化  平顺性指标  计算  非线性平顺性模型

Optimization of Suspension Parameters of a Light Bus Based on Neural Network Technology
Duan Min,Zhang Lijun,Shi Jing,Wang Yangsong & Geng Aili Liaoning Institute of Technology,Jinzhou.Optimization of Suspension Parameters of a Light Bus Based on Neural Network Technology[J].Automotive Engineering,2003,25(2):190-192,197.
Authors:Duan Min  Zhang Lijun  Shi Jing  Wang Yangsong & Geng Aili Liaoning Institute of Technology  Jinzhou
Institution:Duan Min,Zhang Lijun,Shi Jing,Wang Yangsong & Geng Aili Liaoning Institute of Technology,Jinzhou 121001
Abstract: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
Keywords:Light  bus  Neural  network  Optimization
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