摘要
为了降低外界环境对光电跟踪伺服控制系统的干扰,以进一步提高光电跟踪伺服控制系统的稳定性,提出一种数据挖掘的光电跟踪伺服控制系统。首先分析光电跟踪伺服控制系统基本结构,然后针对常规PID控制无法解决跟踪精度和速度间的矛盾,将数据挖掘技术——蚁群优化算法引入到PID控制器参数的在线整定中,结果表明,获得了性能优异的光电跟踪伺服控制系统,系统鲁棒性很好满足了实际应用要求。
In order to reduce the external environment interference on electro-optical tracking servo control system and improve the stability of electro-optical tracking servo control system, this paper put forward a electro- optical tracking servo control system based on data mining. Firstly, the structure optoelectronic tracking servo control system are analysis and then because conventional PID control can not solve the contradiction between tracking precision and speed, the data mining technology which includes ant colony optimization algorithm is introduced into the on-line self -tuning of PID controller parameters. The results show that we can obtain the excellent performance of optoelectronic tracking servo control system, system has good robustness, and it can meet the requirements of practical application.
出处
《激光杂志》
北大核心
2016年第9期99-102,共4页
Laser Journal
基金
2015年河北省科技厅项目(15210336)
