| 基于支持向量机回归的减振器非参数模型 |
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| 引用本文： | 郭孔辉,王先云.基于支持向量机回归的减振器非参数模型[J].吉林大学学报(工学版),2011(Z1):1-4. |
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| 作者姓名： | 郭孔辉 王先云 |
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| 作者单位： | 吉林大学汽车仿真与控制国家重点实验室; |
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| 基金项目： | 中国高水平汽车自主创新能力建设项目(200822010001531) |
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| 摘 要： | 利用减振器的示功试验数据,尝试了基于支持向量机回归算法构造减振器非参数模型的方法。分别建立了一支普通减振器和一支位移相关减振器的模型,并利用样本数据之外的试验数据进行了验证。由普通减振器的验证结果可以看出,利用减振器力与速度和位移相关的模型辨识精度要高于力与速度相关的模型。由位移相关减振器的验证结果可以看出,此方法可以有效地辨识出此减振器的非线性特征。
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| 关 键 词： | 车辆工程 减振器仿真 支持向量机 机器学习 |
Nonparametric models of shock absorber based on support vector machine regression |
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| GUO Kong-hui,WANG Xian-yun.Nonparametric models of shock absorber based on support vector machine regression[J].Journal of Jilin University:Eng and Technol Ed,2011(Z1):1-4. |
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| Authors: | GUO Kong-hui WANG Xian-yun |
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| Affiliation: | GUO Kong-hui,WANG Xian-yun(State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China) |
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| Abstract: | Then we constructed non-parametric damper models using dynamometer data of two dampers,a general hydraulic damper and a displacement-dependent damper respectively.These models were based on support vector machine regression algorithm.Thereafter,these models were validated using the data outside the sample data.The validated results of the general damper showed that the model suppose the force was a function of velocity and displacement was better than the model that suppose the force is a function of veloci... |
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| Keywords: | vehicle engineering shock absorber simulation support vector machine machine learning |
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