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首页> 外文期刊>Journal of Zhejiang University. Science >Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer
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Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer

机译:使用单输入规则模块模糊推理和干扰观测器的单轮汽车模型主动悬架控制

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摘要

This paper presents the construction of an active suspension control of a one-wheel car model using fuzzy reasoning and a disturbance observer. The one-wheel car model to be treated here can be approximately described as a nonlinear two degrees of freedom system subject to excitation from a road profile. The active control is designed as the fuzzy control inferred by using single input rule modules fuzzy reasoning, and the active control force is released by actuating a pneumatic actuator. The excitation from the road profile is estimated by using a disturbance observer, and the estimate is denoted as one of the variables in the precondition part of the fuzzy control rules. A compensator is inserted to counter the performance degradation due to the delay of the pneumatic actuator. The experimental result indicates that the proposed active suspension system improves much the vibration suppression of the car model.
机译:本文提出了一种利用模糊推理和扰动观测器的单轮汽车模型主动悬架控制系统。此处要处理的单轮汽车模型可以近似地描述为受到道路轮廓激励的非线性二自由度系统。主动控制被设计为通过使用单输入规则模块模糊推理推断出的模糊控制,并且通过操纵气动致动器释放主动控制力。通过使用干扰观测器来估计来自道路轮廓的激励,并且该估计被表示为模糊控制规则的前提部分中的变量之一。插入补偿器以抵消由于气动执行器的延迟而导致的性能下降。实验结果表明,所提出的主动悬架系统大大改善了汽车模型的减振效果。

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