Study of Active Suspension Based on Fuzzy Neural Network Control

Chuan Yi Yuan; Ye Fang Teng; Xin Ye Yin

doi:10.4028/www.scientific.net/AMM.251.201

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 251Study of Active Suspension Based on Fuzzy Neural...

Study of Active Suspension Based on Fuzzy Neural Network Control

Abstract:

Based on the established full-car active suspension model, fuzzy control theory was combined with neural network control, the fuzzy neural network control system of vehicle active suspension was designed, simulation and analysis of random road input and sine wave input were carried on. The results show that, by comparison with the traditional suspension system, the peak and standard deviation of vehicle mass vertical acceleration decreased by 55.38% and 59.04%, the peak of vehicle mass vertical acceleration decreased by 49.96% when vehicle go through the sine wave at the speed of 5m/s, the ride comfort was improved obviously.

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Periodical:

Applied Mechanics and Materials (Volume 251)

Pages:

201-205

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.251.201

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Online since:

December 2012

Authors:

Chuan Yi Yuan, Ye Fang Teng, Xin Ye Yin

Keywords:

Active Suspension, Fuzzy Control, Neural Network (NN), Ride Comfort, Vehicle

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References

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