Research on Yaw Stability Control of Active Front Steering Based on BP Neural Network PID

Jie Wei; Guo Biao Shi; Yi Lin

doi:10.4028/www.scientific.net/AMR.765-767.1903

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Research on Yaw Stability Control of Active Front...

Research on Yaw Stability Control of Active Front Steering Based on BP Neural Network PID

Abstract:

This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicles yaw stability effectively.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

1903-1907

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.1903

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Online since:

September 2013

Authors:

Jie Wei, Guo Biao Shi, Yi Lin

Keywords:

Active Front Steering, BP Neural Network PID, Vehicle, Yaw Stability

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References

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