基于ERA模型辨识的H∞振动主动控制试验研究

针对外扰作用下的尾撑式风洞测力模型进行H_∞鲁棒控制试验研究。采用ERA算法(Eigensystem Realization Algorithm)进行模型辨识,可直接获得受控系统动力学方程。为保证系统的稳定性和鲁棒性,结合H_∞混合灵敏度优化方法设计控制器,实现受控模型垂向前两阶模态的振动控制。试验结果表明,结合ERA辨识模型设计的控制器能够有效抑制模型振动,能够将前两阶振动幅值抑制到无控制时的10%以下。

Experiment study on the active vibration control using H∞ method based on ERA identification model

The H∞ robust control on a rear-sting wind tunnel model was experimentally studied. Due to that the model is suffering from external disturbance,an Eigensystem Realization Algorithm(ERA) was used for model identification. In order to obtain a stable and robust system,a H∞ hybrid sensitivity optimization controller was designed to suppress the vibration of first two modes of the structure. The results of experiments indicate that the controller based on ERA model identification method is effective for vibration suppressing,and the vibration amplitude of first two modes is reduced to less than 10% compared to uncontrolled state.