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The Performance of Automobile Antilock Brake System Based on Fuzzy Robust Control

机译:基于模糊鲁棒控制的汽车防抱死制动系统性能

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Aiming at the characteristics of automobile braking and the performance demands of ABS, the mathematic model is founded. ABS control strategy based on robust and fuzzy logic hybrid control is advanced. The fuzzy and robust control simulation model is founded with Matlab/Simulink for automobile ABS. The model has better robustness, good steady state characteristics, strong anti-interference ability and high control accuracy. The simulation results compare with a single robust control, fuzzy control and the ideal ABS control. The results show the fuzzy robust control strategy can effectively improve the response of automobile ABS, strengthen the vehicle's ability to adapt to various roads. It also can get the best braking slip ratio and the braking distance.
机译:针对汽车制动的特点和ABS的性能要求,建立了数学模型。提出了基于鲁棒与模糊逻辑混合控制的ABS控制策略。利用Matlab / Simulink建立了汽车ABS的模糊鲁棒控制仿真模型。该模型具有较好的鲁棒性,良好的稳态特性,较强的抗干扰能力和较高的控制精度。仿真结果与单个鲁棒控制,模糊控制和理想ABS控制进行了比较。结果表明,模糊鲁棒控制策略可以有效提高汽车ABS的响应速度,增强车辆适应各种道路的能力。它还可以获得最佳的制动滑移率和制动距离。

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