BP网络在非线性油阻尼减振器建模中的应用

针对传统的线性理论在解决复杂非线性油阻尼减振器模型上的局限性 ,提出了一种应用 BP网络进行建模的新方法。为阐述 BP网络在非线性系统中建模的优越性 ,进行了非线性油阻尼减振器的试验研究 ,建立了其相应的非线性模型。在分析实验模型的基础上 ,对 BP网络进行改进 ,建立更为符合实际的非线性油阻尼减振器模型 ,仿真结果表明 ,神经网络在建模中具有较高的精度和适应性 ,是一种可行的方法

The Application of BP Network to Modeling a Nonlinear Oil-damping Shock Absorber

In this paper,we introduce a new technique,BP network,to modeling the nonlinear system.This new technique can countermeasure the limitations of traditional linear theory in dealing with problems arising from modeling the complex nonlinear oil-damping shock absorber.To expound the advantages of BP network in modeling the nonlinear system,experiments of a nonlinear oil-damping shock absorber have been carried out and a relevant model has been set up.On the basis of the findings out of the experimental model,improvement has been made to BP network,and a more practical model of a nonlinear oil-damping shock absorber has been established.The results of simulation suggest that BP network has better precision and has thus become a useful tool.