Research on Active Suspension System Based on BP and RBF Network Algorithm

Chuan Yin Tang; Guang Yao Zhao; Yi Min Zhang; Xiao Yu E

doi:10.4028/www.scientific.net/AMR.230-232.149

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 230-232Research on Active Suspension System Based on BP...

Research on Active Suspension System Based on BP and RBF Network Algorithm

Abstract:

A six degrees of freedom half body vehicle suspension system is presented in the paper .The Back Propagation neural network algorithm and the Radial-Basis Function network algorithm is adopted to control the suspension system. With the aid of software Matlab/Simulink , the simulation model is obtained. A great deal of simulation work is done. Simulation results demonstrate that both the designed radius basis function neural network and the back propagation neural network work well for the proposed vehicle suspension model in the paper .

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Periodical:

Advanced Materials Research (Volumes 230-232)

Pages:

149-153

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.230-232.149

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Online since:

May 2011

Authors:

Chuan Yin Tang, Guang Yao Zhao, Yi Min Zhang, Xiao Yu E

Keywords:

Active Suspension Control, Back Propagation Network, Radial-Basis Function Network, Simulation

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References

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