柔性铰接板振动测量及迭代学习主动控制

大型柔性板状结构广泛应用于航空航天领域，这种结构特性极易引起低频振动，针对这一问题以柔性铰接板为研究对象，探究了柔性铰接板在受外部激励作用下弯曲模态的振动特性.为此搭建了一套用于测控柔性铰接板振动特性的实验平台，采用了立体视觉和压电陶瓷传感器分别检测柔性铰接板的振动信息，以此信息作反馈，采用了变遗忘因子的迭代学习控制方法对柔性铰接板的振动进行主动控制，同时以PD控制的实验效果作为对比.实验结果表明，不论是大幅值的快速衰减还是小幅值的残余振动抑制，迭代学习控制效果都优于PD控制.

Vibration Measurement and Iterative Learning Control ofFlexible Hinged Plate

Large flexible plate type structures are widely used in aerospace field, though the structures are too easy to cause low frequency vibration. To solve this problem, the flexible hinged plate is selected as the research object so as to explore the vibration characteristics under external excitation in bending mode. An experimental platform for measuring and controlling the vibration of the flexible plate is set up. A stereo vision and a PZT sensor are used to detect the vibration information of the flexible plate, respectively. Based on the vibration information, the iterative learning control method with a variable forgetting factor is adopted to actively control the vibration of the flexible hinged plate, and the experimental results under PD control are used as a reference. The experimental results show that the iterative learning control is superior to PD control in both rapid attenuation of large amplitude and residual vibration suppression of small amplitude.