光学精密工程2023，Vol.31Issue(22)：3245-3255,11.DOI:10.37188/OPE.20233122.3245
双柔性梁振动激光视觉测量与自适应协同控制
Laser vision measurement and adaptive cooperative vibration control of double flexible beams
摘要
Abstract
Double-flexible-beam-coupling structures are widely used in the aerospace field,such as in so-lar-wing-extension structures and solar-cell arrays.However,non-contact vibration measurements and sys-tem control are some issues associated with double-flexible-coupled-beam systems.To address these,herein,a measurement and control experimental platform based on a point-laser-structured-light-vision sys-tem was constructed,and point-laser-visual-vibration-measurement research and vibration-control-algo-rithm design were conducted.The point-laser-vision system was calibrated,and the vibration signal of the flexible beam was extracted via image processing combined with a geometric method.The system-dynam-ics model was established,and the parameters of the state-space equation were identified using a wavelet transform and optimization method.A direct adaptive fuzzy cooperative(DAFC)controller was designed to actively control the vibration of the double-flexible-beam system,and the Gazelle optimization algorithm was used to optimize the controller parameters based on the identification model.Visual-vibration detec-tion and control experiments were conducted under fixed and translational motions of the double-flexible-coupled-beam system.The experimental results revealed that the designed point-laser-vision sensor dem-onstrated an improved vibration-measurement accuracy,and the DAFC controller exhibited a better con-trol effect than the proportional derivative controller,as the former could suppress the vibrations of the dou-ble-flexible-coupling beam more rapidly.关键词
激光视觉/双柔性耦合梁/自适应模糊协同控制/羚羊优化算法Key words
laser vision/double flexible coupled beams/adaptive fuzzy cooperative control/gazelle opti-mization algorithm分类
计算机与自动化引用本文复制引用
邱志成,胡骏飞,李旻..双柔性梁振动激光视觉测量与自适应协同控制[J].光学精密工程,2023,31(22):3245-3255,11.基金项目
广东省自然科学基金资助项目(No.2019A1515011901) （No.2019A1515011901）
广州市科技计划资助项目(No.202002030113) （No.202002030113）
国家自然科学基金资助项目(No.52175093) （No.52175093）
