Research on the Automotive Suspension Based on BP Neural Network

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Abstract:

This article uses the application of artificial intelligence theory to research on the air suspension system, constructing the structure of control system, and the study of the neural network algorithm is simulation for its study of results. The fusion of fuzzy logic and neural network consist of the fuzzy neural network, which has the advantages of fuzzy logic and neural network.

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478-481

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Huang Zhiguo. Research on the air suspension control system simulation and experiment [D]. Master Dissertation of Jilin University, 2010(4): 20-27.

Google Scholar

[2] Zhang Guangquan. Research on the bus air suspension guiding mechanism [J]. Contemporary car, 2010: 25-30.

Google Scholar

[3] Ma Changyou. Design of the WD689OH bus chassis suspension [J]. Bus technology and research, 2011(2): 4-6.

Google Scholar

[4] Chen Li. The application of fuzzy neural network and its shape control [D]. Master degree paper of Beijing University of Technology, 2010: 5-15.

Google Scholar

[5] Qu Liang. The computer simulation of control system based on MATLAB [M]. Beijing: Tsinghua University press, 2011: 1-12.

Google Scholar

[6] Wang Shuzhen. The bench test of Hino RC42O bus air suspension [J]. Automobile technology, 2010(8): 26-30.

Google Scholar