Fuzzy-PID Algorithm Research about Anti-lock Braking System
Ying Zhang, Zhaohui Yuan
Abstract
Ying Zhang, Zhaohui Yuan
Abstract
Adopting the seven-DOF four-wheel dynamic model of braking condition as the study object, using the co-simulation of Matlab/simulink and AMEsim for the model building, and the anti-lock braking system is designed using the fuzzy-PID algorithm to keep the slip-ratio around the best value. Considering the value of the best slip-ratio is not fixed but is changing with the ever-changing road conditions, the strategy of slip-ratio self-adjusting is introduced to design the road identification system. The co-simulation results show that this kind of control makes the braking performance of vehicle improved noticeably.
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Adopting the seven-DOF four-wheel dynamic model of braking condition as the study object, using the co-simulation of Matlab/simulink and AMEsim for the model building, and the anti-lock braking system is designed using the fuzzy-PID algorithm to keep the slip-ratio around the best value. Considering the value of the best slip-ratio is not fixed but is changing with the ever-changing road conditions, the strategy of slip-ratio self-adjusting is introduced to design the road identification system. The co-simulation results show that this kind of control makes the braking performance of vehicle improved noticeably.
Key concepts: Anti-lock braking system, Slip ratio, MATLAB, Braking system, Control theory (sociology), Slip (aerodynamics), PID controller, Computer science