Precision laser tracking servo control system for moving target position measurement

详细信息    查看全文

• 作者：Yang Juqing^a ; ^bAuthor Vitae ; Wang Dayong^a ; Zhou Weihu^b ; ^{zhouweihu@aoe.ac.cn}Author Vitae
• 关键词：Dynamic trajectory ; Position measurement ; Tracking servo control ; Fuzzy PID control ; Laser tracker
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：131
• 期：Complete
• 页码：994-1002
• 全文大小：1906 K
• 卷排序：131

文摘

Laser tracking and servo control is essential for the laser tracker to accurately measure coordinates and trajectories of dynamic targets in the space. It has demanding requirements for tracking performance of the servo system in terms of dynamic response properties, controlling accuracy and stability. The currently used servo controlling system in the laser tracker usually adopts the traditional proportional, integral and differential (PID) controlling methods While measuring the dynamic coordinates, the target lens move randomly in a greatly dynamic way; the system’s tracking speed faces a delay in adapting to it, resulting in frequent miss or loss of the target. Based on the requirements of the laser tracing and servo system to quickly track targets moving in a very random and dynamic manner, this paper studies the controlling properties of the laser tracking servo system and the modelling of the controlled objects, proposing a hybrid controlling structure and method which incorporates multi-loop feedback control as well as fuzzy prediction and control-based correction. The deviation signal of the photoelectric location is extracted and fuzzified. Fuzzy rules and controlling strategies are formulated. A fuzzy adaptive PID tracking control algorithm is also presented. A platform for testing the servo tracking system is constructed. The proposed controlling strategies and algorithms are applied to the single-axis laser tracking and rapid prototype tracking tests. Test results show that the angular acceleration of the dynamic tracking servo exceeds 200°/s2, proving great improvements in the system’s random dynamic tracking performance and stability.