Research on Yaw Stability Control of Active Front Steering Based on BP Neural Network PID
2013 ◽
Vol 765-767
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pp. 1903-1907
Keyword(s):
System A
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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.
2014 ◽
Vol 554
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pp. 526-530
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2015 ◽
Vol 779
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pp. 226-232
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2013 ◽
Vol 820
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pp. 117-121
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Keyword(s):
2014 ◽
Vol 599-601
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pp. 1090-1093
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2013 ◽
Vol 756-759
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pp. 514-517
2012 ◽
Vol 468-471
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pp. 742-745
Keyword(s):