位移-加速度振动台迭代学习控制方法试验研究

Experimental validation on displacement-acceleration iterative learning control for shaking table

针对传统位移控制液压伺服振动台台面加速度波形再现不精确的问题,提出了基于位移-加速度振动台迭代学习控制方法,并通过数值模拟和储罐振动台模型实验研究迭代学习控制方法的性能。研究结果表明:基于位移-加速度迭代学习控制方法相比基于位移-位移迭代学习控制方法对于加速度的再现精度更高,修正迭代方法相比直接迭代方法的收敛速度稍快。

To improve the acceleration control accuracy of shaking tables with traditional displacement feedback control, the dis- placement-acceleration based iterative learning control method is proposed in this paper. The theory of shaking table displace ment-acceleration based iterative learning control method is introduced, and the numerical simulation and experimental valida- tion on storage tank model are also conducted in this paper. It is shown from the numerical and experimental results that corn pared with the displacement displacement based iterative learning control method, the displacement-acceleration based iterative learning control method lead to better acceleration accuracy and the revised iteration is better than the direct iteration in the case o{ convergence speed.