强激光与粒子束2012，Vol.24Issue(6)：1281-1286,6.DOI:10.3788/HPLPB20122406.1281
自适应光学系统变形镜控制电压预测
Predicting control voltages of deformable mirror in adaptive optical system
摘要
Abstract
The paper proposes a nonlinear neural network algorithm to predict the control voltages of deformable mirror in adaptive optical systems. The algorithm, named LMBP algorithm- adopts the two-layer back propagation neural network based on Levenberg-Marquardt learning algorithm. The numerical simulation with the algorithm has been conducted by using the gradient data of atmosphere turbulence wavefront influenced by transversal wind. The predicted control voltage agrees well with the actual control voltage of deformable mirror. The influence of the look-back frame number on the prediction effect is discussed and the residual error of the adaptive optic system is calculated with the LMBP nonlinear prediclion algorithm and the recursive least-square (RLS) algorithm. The residual error caused by servo lag in the system is reduced more effectively using the LMBP nonlinear prediction algorithm.关键词
自适应光学/非线性预测控制/Levenberg-Marquardt学习算法/最小递归二乘法Key words
adaptive optics/nonlinear prediction control, Levenberg-Marquardt learning algorithm/ recursive least分类
数理科学引用本文复制引用
史晓雨,冯勇,陈颖,谭治英,李新阳..自适应光学系统变形镜控制电压预测[J].强激光与粒子束,2012,24(6):1281-1286,6.基金项目
国家自然科学基金项目(60978050) （60978050）
四川省青年科技基金项目(09ZQ026-014) （09ZQ026-014）
