基于智能系统辨识模型的四分之一小车模糊控制器设计

D. Hanafi
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引用次数: 5

摘要

本文对被动悬架模型的四分之一轿车模糊逻辑控制进行了设计。采用智能系统识别方法对四分之一车模型进行识别,并假设其具有NARX模型。在实验中,通过车辆在特殊道路上的行驶,采集车辆的输入输出数据。结果表明,模糊控制器可以有效地消除路面对悬架系统的干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The quarter car fuzzy controller design based on model from intelligent system identification
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.
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