激光技术2017，Vol.41Issue(4)：606-610,5.DOI:10.7510/jgjs.issn.1001-3806.2017.04.030
机载激光通信的模糊神经网络PID视轴稳定控制
PID control of optical axis stabilization for airborne laser communication based on fuzzy neural network
摘要
Abstract
For airborne laser communication,optical axis stabilization is the premise to establish laser communication link.In order to overcome the negative effect of carrier disturbance and parameters change on optical axis stabilization of coarse tracking system effectively, a proportion-integral-derivative(PID) control algorithm based on fuzzy neural network was designed.The algorithm combines the nonlinear controllability of fuzzy theory with self-learning ability of the neural network,and can achieve the real-time online adjustment of PID parameters.The simulation experiment results show that compared with the traditional PID control method,the fuzzy neural network PID control method can improve dynamic response speed and reduce the overshoot of a system and that the system has strong adaptability and robustness when the carrier is disturbed and the parameters change.关键词
光通信/机载激光通信/模糊神经网络/视轴稳定/比例-积分-微分控制Key words
optical communication/airborne laser communication/fuzzy neural network/optical axis stabilization/proportion-integral-derivative control分类
信息技术与安全科学引用本文复制引用
刘世涛,曹阳,彭小峰,张勋..机载激光通信的模糊神经网络PID视轴稳定控制[J].激光技术,2017,41(4):606-610,5.基金项目
中国博士后科学基金资助项目(2014M552329) （2014M552329）
重庆市教委科学技术研究资助项目(KJ120827 （）
KJ1500934) （）
