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Study of Automobile SBC on Varied Pavement with Fuzzy Slide Model Adaptive Control

机译:用模糊幻灯片模型自适应控制多种路面汽车SBC研究

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The method that Fuzzy Slide Mode Adaptive Control (FSMAC) was applied to the motor vehicle Sensotronic Brake Control (SBC) system on vary pavement was studied. According to the fuzzy base-function extension form of the broad sense T-S fuzzy system, the fuzzy base-function network controller and two kind parameter adaptive laws of the automobile SBC were designed. The quasi-slide area or fuzzy slide model plane was determined by combining the fuzzy control with the slide mode vary structure. One of laws was selected to control by the error arriving border and it is inside and outside. The computer simulation was fulfilled for this system by using Matlab/Simulink software on one kind of certain pavement and several vary pavments. The results show that this has better adaptive ability for vary pavements, and its braking was smooth. And there are short braking distance and time. Those can efficaciously improve the braking performance.
机译:研究了模糊滑动模式自适应控制(FSMAC)对机动车辆敏调子制动控制(SBC)系统的方法进行了改变路面。根据广义T-S模糊系统的模糊基函数延伸形式,设计了模糊基函数网络控制器和汽车SBC的两种参数自适应规律。通过将模糊控制与滑动模式变化结构相结合来确定准滑块或模糊滑动模型平面。选择一个定律来控制到达边框的错误,并且它在内外。通过使用Matlab / Simulink软件对某种某种某种路面和几种不同的路面来满足计算机仿真。结果表明,这具有更好的改性路面的适应性,其制动光滑。并且有短的制动距离和时间。那些可以有效地改善制动性能。

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