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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Hysteresis Modeling of Smart Structure MR Devices Using Describing Functions
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Hysteresis Modeling of Smart Structure MR Devices Using Describing Functions

机译：使用描述函数的智能结构MR设备的磁滞建模

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摘要

Magnetorheological (MR) devices have been quite promising for semiactive control, thanks to their capability of adjusting structural parameters, under a low-power control signal, to effectively withstand severe dynamic loadings including seismic events. MR devices, using visco-elastic and ferromagnetic materials, are subject to hysteresis, which may degrade the performance of smart structures. Therefore, this multivalued nonlinearity needs to be properly modeled and characterized for control and health monitoring. As engineering structures operate as low-pass filter in normal conditions, it is suitable to use the classical describing function (DF) method for modeling and analysis of the hysteretic behaviors in MR device-based smart structures. Data obtained from characterizing tests are recorded in look-up tables to obtain the DFs for these devices, using a curve-fitting technique. The proposed DFs are then useful in structural frequency analysis. Experimental results are reported for a steel beam with MR pin joints subject to quake-induced vibrations provided by a shake table.
机译：磁流变（MR）设备在半主动控制方面非常有前途，这是因为它们具有在低功率控制信号下调节结构参数以有效承受包括地震事件在内的剧烈动态载荷的能力。使用粘弹性和铁磁材料的MR设备会出现磁滞现象，这可能会降低智能结构的性能。因此，需要对这种多值非线性进行适当的建模和表征，以进行控制和健康监控。由于工程结构在正常条件下充当低通滤波器，因此适合使用经典描述函数（DF）方法对基于MR设备的智能结构中的滞后行为进行建模和分析。使用曲线拟合技术，将从特性测试获得的数据记录在查找表中，以获得这些器件的DF。所提出的DFs可用于结构频率分析。据报道，具有MR销钉接头的钢梁会受到振动台产生的地震感应振动的实验结果。

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