Vibration control for a half-car model with adaptation of the magnetorheological damper model

J. Kasprzyk, P. Krauze
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引用次数: 4

Abstract

The paper presents vehicle vibration control using magnetorheological (MR) dampers. Typical algorithms to control this semi-active suspension need the inverse model of the damper. Modelling of the damper is not a trivial task because of its highly non-linear behaviour. Also, effectiveness of damping vibrations caused by the road depends significantly on the quality of the model. Therefore, an identification algorithm based on iterative estimation of immeasurable signals is proposed. Two control algorithms are tested - Skyhook and FxLMS (Filtered-x LMS). Simulation experiments for a half-car model excited by road bumps show usefulness of this approach. It was also observed that the FxLMS is not very sensitive to modelling errors as it includes an internal mechanism of adaptation. On the other hand, the Skyhook fails if the model is inaccurate, so it should be used together with the identification of the MR damper.
采用磁流变阻尼器模型的半车模型振动控制
提出了一种利用磁流变阻尼器控制汽车振动的方法。控制这种半主动悬架的典型算法需要阻尼器的逆模型。由于阻尼器的高度非线性特性,对其进行建模并不是一项简单的工作。此外,阻尼由道路引起的振动的有效性在很大程度上取决于模型的质量。为此,提出了一种基于不可测信号迭代估计的辨识算法。测试了两种控制算法- Skyhook和FxLMS (filter -x LMS)。对路面颠簸激励下的半车模型的仿真实验表明了该方法的有效性。还观察到,FxLMS对建模误差不是很敏感,因为它包含一个内部适应机制。另一方面,如果模型不准确,则Skyhook失效,因此应与MR阻尼器的识别一起使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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