光学精密工程2024，Vol.32Issue(7)：998-1010,13.DOI:10.37188/OPE.20243207.0998
柔性铰接板振动视觉测量与小波神经网络控制
Vibration vision measurement and wavelet neural network control of flexible hinged plate
摘要
Abstract
To address the vibration challenges in flexible thin plate structures like solar panels on space-craft,this study investigates a translational flexible hinged plate system.A binocular vision-based measure-ment and control experimental platform is developed.This platform employs the binocular stereo vision technique for vibration detection,and introduces a self-recurrent wavelet neural network controller(SRWNNC)to mitigate vibration.The system's binocular vision is precisely calibrated.Utilizing the princi-ples of disparity and advanced image processing algorithms,it calculates the three-dimensional coordinates of specific markers to capture vibration signals.A finite element model of the system is constructed,facili-tating the identification of system model parameters.Following this,the SRWNNC is trained within a sim-ulation environment using the identified model parameters,aiming for effective vibration control in the ex-perimental system.Experiments and simulations are conducted on the system,focusing on both fixed base and translational trajectory movements,to evaluate the effectiveness of binocular vision in vibration detec-tion and the SRWNNC in active vibration suppression.The findings confirm that the binocular vision sen-sor achieves a high accuracy less than 0.1 mm in detecting vibrations,and the SRWNNC outperforms tra-ditional large gain PD controllers in damping vibrations,thus validating the efficiency and accuracy of the proposed vibration detection and suppression methods.关键词
双目视觉/移动柔性铰接板/自回归小波神经网络/振动抑制Key words
binocular vision/translational flexible hinged plate/self-recurrent wavelet neural network/vibration suppression分类
计算机与自动化引用本文复制引用
邱志成,刘一鸿,李旻..柔性铰接板振动视觉测量与小波神经网络控制[J].光学精密工程,2024,32(7):998-1010,13.基金项目
国家自然科学基金资助项目(No.52175093) （No.52175093）
广东省自然科学基金资助项目(No.2019A1515011901) （No.2019A1515011901）
