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The Control Algorithm and Simulation Study for Automotive ABS

Author: LiZhiGao
Tutor: ZhongShaoHua
School: Wuhan University of Technology
Course: Vehicle Engineering
Keywords: Anti-lock braking system (ABS) Fuzzy Control Slip rate ADAMS Adaptive
CLC: U463.526
Type: Master's thesis
Year: 2011
Downloads: 342
Quote: 2
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Abstract


With the rapid development of the automotive industry, vehicle speed continues to accelerate, more and more attention to the safety performance of the car. The automotive anti-lock system (ABS) in a vehicle during the braking process by the automatic adjustment of the braking torque to prevent wheel locking phenomenon occurs, and the wheel slip rate is maintained at the vicinity of the optimal slip rate, thereby increasing the automobile braking performance and directional stability. Therefore, as an effective vehicle active safety devices, automotive ABS applications are becoming increasingly popular. But logic threshold control method in actual ABS products is not an ideal vehicle ABS control strategy, so it is necessary to conduct further studies on the ABS control strategy. The paper first analyzes the the automotive ABS works, and describes the basic components of the ABS, layout, as well as several of the more popular ABS control algorithm. Then by using the ADAMS / Car set up includes front and rear suspension system, steering system, brake system, tire model, powertrain, and body assembly system and other vehicle virtual prototype model. Combining the fuzzy control theory, this paper fuzzy control system toolbox in MATLAB / Simulink to design a fuzzy control system based on the ABS wheel slip rate, the road identification system for the controller design. ADAMS / Controls module interface, the module ADAMS / Car vehicle virtual prototype model of automobile ABS fuzzy controller as well as the road identification system co-simulation model, and in high adhesion coefficient pavement and high and low adhesion coefficient docking pavement on a straight-line braking simulation. The simulation results show that: In this paper, the design of ABS fuzzy controllers are capable of high, low adhesion coefficient road wheel slip ratio control in the corresponding optimum slip ratio nearby to significantly improve the car's braking performance. But comparatively speaking, ABS fuzzy control process controller in low adhesion coefficient road is not smooth high adhesion coefficient road car road from the high adhesion coefficient for low adhesion coefficient pavement transition process at the same time, the wheel slip ratio fluctuations front and rear wheels appeared the Hugging the phenomenon of the moment. To further enhance the adaptive capacity of ABS fuzzy controller on the road, through the analysis of the quantization factor and scale factor fuzzy controller to control the performance impact on the system, the ABS self-fuzzy controller to adjust the quantization scale factor. The simulation results show that: ABS self-adjusting quantization scale factor fuzzy controller compared with ordinary fuzzy controller has better adaptive ability of the different road, to further improve the car's braking performance.

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CLC: > Transportation > Road transport > Automotive Engineering > Automotive structural components > Braking system > Brake control device > Anti-lock brake
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