Neural network control method of automotive semi-active air suspension

ZHU Si-hong; LU Bao-zhan; WANG Hui; ZHANG Ying; HE Liang

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ZHU Si-hong, LU Bao-zhan, WANG Hui, ZHANG Ying, HE Liang. Neural network control method of automotive semi-active air suspension[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 66-70.

Citation:

ZHU Si-hong, LU Bao-zhan, WANG Hui, ZHANG Ying, HE Liang. Neural network control method of automotive semi-active air suspension[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 66-70.

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Neural network control method of automotive semi-active air suspension

School of Engineering, Nanjing Agricultural University, Nanjing 210031, Jiangsu, China

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Author Bio:
Zhu Si-hong(1962-), male, PhD, professor, 86-25-58606603, zsh@njau.edu.cn
Received Date: 2006-06-22
Publish Date: 2006-12-25

Abstract

Abstract

In order to improve the control effect of vehicle semi-active suspension, adaptive neural network control method was developed, the air pressure of spring was taken as controlled object, the computer simulation and experiment of body plumb acceleration, suspension dynamic deflection and wheel dynamic load with semi-active air suspension under the excitations of different road surfaces were studied, the control result of neural network control suspension was compared with the control effect of passive suspension.Under the excitations of white noise roads and lower frequency sinusoid roads, the result shows that the semi-active suspension with the method not only markedly reduces body plumb acceleration, wheel dynamic load, suspension dynamic deflection, the decreased range is from 16% to 85%, but also improves automotive driving stability, riding comfortable performance and running security.
- vehicle engineering,
- air suspension,
- neural network control method,
- simulation,
- experimental study

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References(15)

References

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