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Ride Comfort Improvement of a Semi-active Vehicle Suspension Based on Hybrid Fuzzy and Fuzzy-PID Controller

机译:基于混合模糊和Fuzzy-PID控制器的半主动悬架行驶舒适性改进

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The development of vehicles providing maximum drive comfort and handling stability is one of the design targets for car manufacturers. This paper proposes a hybrid fuzzy and fuzzy-PID (HFFPID) controller for a semi-active quarter-car with three degrees of freedom utilizing a magneto-rheological (MR) shock absorber. The control objective is to amend the ride quality of the vehicle. The proposed controller comprises a fuzzy-self-tuned proportional-integral-derivative (FSTPID) controller, a fuzzy-logic controller (FLC) and a fuzzy selector (FS). Based on the error between the output and its set point, the fuzzy selector selects which controller should play the greatest effect on the control system. The effectiveness of the proposed control strategy is analysed through simulations involving excitations for a bump road and a random road profile in time domain. The results show that the HFFPID controller has the best performance in reducing the car body acceleration, suspension working space and seat acceleration response compared with the uncontrolled as well as FLC-and HFPID controlled-cases. Hence, the best ride quality response is provided by the HFFPID controller as compared to all the other suspension systems considered in this paper.
机译:提供最大的驾驶舒适性和操纵稳定性的车辆的开发是汽车制造商的设计目标之一。本文提出了一种混合模糊和模糊PID(HFFPID)控制器,用于具有磁流变(MR)减震器的具有三个自由度的半主动四分之一汽车。控制目标是修改车辆的行驶质量。所提出的控制器包括模糊自调谐比例积分微分(FSTPID)控制器,模糊逻辑控制器(FLC)和模糊选择器(FS)。模糊选择器根据输出与其设定点之间的误差,选择哪个控制器应对控制系统发挥最大作用。通过模拟仿真分析了提出的控制策略的有效性,该仿真涉及颠簸道路的激励和时域的随机道路轮廓。结果表明,与非控制情况以及FLC和HFPID控制情况相比,HFFPID控制器在降低车身加速度,悬架工作空间和座椅加速度响应方面具有最佳性能。因此,与本文中考虑的所有其他悬架系统相比,HFFPID控制器可提供最佳的乘坐质量响应。

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