基于粗糙集理论的结构振动模糊控制

模糊控制是结构主动控制的一种很有前途的控制算法，但在模糊规则的确定上常带有经验性。近年兴起的粗糙集理论能有效分析和处理大量经验数据，从中发现隐含知识，揭示潜在的规律。本文提出将模糊推理与粗糙集理论结合起来、利用粗糙集理论提取模糊规则进行结构模糊振动控制的方法。通过对一个顶层作用有AMD装置的1：4五层钢框架模型结构的模糊控制仿真分析和地震模拟振动台试验研究，证实了所提方法的有效性；同时，试验研究也展示了模糊控制具有鲁棒性好、反馈量少的优点，具有很强的工程应用价值。

Fuzzy control of structural vibration based on rough set theory

Fuzzy theory is highly promising for active structural control. But the control rules are generally experimental in fuzzy control of structural vibration. Recently developed rough set theory has a powerful capability for analyzing data and finding potential knowledge. This paper combines those advantages of the two theories, using rough set theory to extract a set of rules for a fuzzy controller. A simulation and shaking table tests are conducted on a five-storey model using an active mass damper, and the results show that the proposed approach is effective in suppressing the building response to earthquakes. The results of the experiments also confirm the potential of using the fuzzy controller for the practical implementation because of its intrinsic robustness and fewer number of measured structural responses.