结构非线性振动智能控制试验与分析
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摘要
在结构动力学与控制领域中,试验验证对于理论与数值研究是非常重要的.但是,目前的模型试验大部分都只考虑结构的线性行为,所以考虑结构非线性振动的试验模型成为一个研究热点.采用磁流变旋转阻尼器来模拟结构中的塑性铰,并通过调整输入到此旋转阻尼器中的电压来实现不同的非线性行为,然后在不同的非线性行为下验证了动态神经网络观测器和自适应模糊滑模控制算法的有效性.试验结果表明建立的结构非线性试验模型可以在试验完成后不需要任何代价而恢复到初始状态,并且能够实现不同的非线性行为,同时采用的智能控制算法对结构非线性振动也有较好的控制作用.
Experimental verification of structural dynamics and control strategies is essential for theoretical and numerical study,but only the linearity of the structures was studied in the existing model tests.Therefore, recently there has been an increasing interest in research of establishing experimental model for structural nonlinear vibration.In this paper,MagnetoRheological(MR) rotary brake is used to mimic the plastic hinge of structure so as to analyze structural nonlinear vibration.By means of adjusting the input voltage to MR rotary brakes,different nonlinear behaviors can be detected.Moreover,the dynamical neural network and adaptive fuzzy sliding mode control have been experimentally verified under different nonlinear behaviors by incorporating MR damper into this experimental model.Experimental results show that the structural nonlinear vibration model which is established in this paper can be recovered to initial state without any cost after nonlinear vibration tests.In addition,different nonlinear behaviors can be achieved by changing the input voltage to MR rotary brakes.The intelligent control algorithms are experimentally verified to be suitable for control of structural nonlinear vibration.
引文
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