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The quarter car fuzzy controller design based on model from intelligent system identification

机译:基于智能系统辨识模型的四分之一车模糊控制器设计

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In this paper, the design of the quarter car fuzzy logic control (FLC) for passive suspension model has been done. The quarter car model is identified using intelligent system identification and assumed has NARX model. The car input output data are collected in experiment by driving car on special road event. The result shows that the fuzzy logic controller is suitable for eliminating road surface disturbances to the suspension system.
机译:本文完成了被动悬架模型的四分之一汽车模糊逻辑控制(FLC)的设计。使用智能系统识别来识别四分之一车模型,并假设其具有NARX模型。在特殊道路事件中通过驾驶汽车在实验中收集汽车输入输出数据。结果表明,模糊逻辑控制器适用于消除路面对悬架系统的干扰。

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