磁流变阻尼器参数化动力学模型研究进展

Advances of research on parameterized dynamic models of magnetorheological dampers

磁流变阻尼器(magnetorheologicaldamper,简称MR阻尼器)是一种智能型驱动装置,在土木工程中具有很好的应用前景.详细综述了磁流变阻尼器参数化动力学模型的研究现状,分析了各种模型的优缺点;并对如何设计充分发挥磁流变阻尼器在不同电压下耗能能力的控制策略进行了探讨,指出神经网络和模糊逻辑技术的应用是解决这一问题的有效途径.

Magnetorheological (MR) damper is a kind of intelligent actuator, which shows immense potential in the field of engineering structure. The researches on parameterized dynamic models of magnetorheological dampers are summarized. The advantages and disadvantages of every model are analyzed. And the problem of how to design the control law to make the dissipative ability of MR damper under fluctuating current be optimal is also discussed. The intelligent technology such as neural network and fuzzy logic may be an effective solution for practical applications.