高空悬缆振动的主动控制研究

Active Control Research on Vibration for Aerial Hoisting Cable

长悬缆常用于大型建筑、机械的结构中,但其振动难于控制。该文以建筑用的高空作业平台为例,建立了高空悬缆在激励状态下的具体的动力学模型。利用BP神经网络对模糊控制规则记忆,设计了模糊神经网络控制系统。并对高空悬缆在该抑振方法下的振动进行simulink仿真以检验抑振效果。进一步进行了试验测试。结果显示,仿真中悬缆的振幅被削减了约72.4%,试验中悬缆的振幅被削减了约70%。两者结果基本一致,表明该抑振方法对高空悬缆具有有明显的抑振效果。

Long hoisting cables are often used in large structures and mechanical structures,but their vibration is difficult to control.In this paper,the aerial work platform of building was taken as an example to build the specific dynamic model of hoisting cable under the excitation state.BP neural network was used to memory the fuzzy control rule and fuzzy neural network control system was designed.And the vibration of the aerial hoisting cable under the vibration suppression method was simulated by simulink to test the vibration suppression effect.The test was carried out further.The results display that the amplitude of the hoisting cable is reduced by about 72.4%in the simulation and the amplitude of the hoisting cable is reduced by about 70%in the test.The two results are basically consistent,which indicates that the vibration suppression method has obvious effect of vibration suppression for the aerial hoisting cable.