自适应光学闭环系统实时多路自适应控制算法

分析和介绍了自适应光学闭环系统中一种实用的实时多路自适应控制算法。该多路自适应控制算法综合考虑了大气湍流扰动以及自适应光学系统时间延迟对系统控制效果的影响，其各个控制回路的控制参数能根据外界扰动的变化进行实时的迭代调整，从而使系统始终工作在最优控制状态。利用61单元自适应光学系统上模拟的大气湍流扰动信号，实现了对变形镜各路控制电压进行闭环优化控制的多路自适应控制算法，并对该算法的收敛性、控制效果、控制带宽进行了仿真研究和分析。仿真结果表明，同经典比例积分控制算法相比，多路自适应控制算法具有更强的自适应性，可以更有效地减少外界扰动对自适应光学系统校正效果的影响，提高自适应光学系统的闭环控制带宽，改善控制特性。

Abstract

A multi-channel adaptive control algorithm (MACA) that can be put into practice in the closed-loop adaptive optics (AO) system is proposed. MACA, unlike the traditional control algorithm, considers the effect of atmospheric turbulence and the system time delay together with the dynamic characteristics of AO system. The control parameters in each control loop can be modified timely during iterative calculation, which can make the system work at the best control state. Taking a 61-element AO system as an example, based on numerical simulation, MACA is studied to control the voltages of deformable mirror in advance. Analyses are made on convergence, control performance and control bandwidth of this algorithm. Compared with the classical proportional integral (PI) control algorithm, simulation results show that the residual error caused by turbulence in the system is reduced more effectively by using MACA which has good adaptability and improves the closed-loop control bandwidth and control properties of AO system.

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颜召军, 李新阳, 饶长辉. 自适应光学闭环系统实时多路自适应控制算法[J]. 光学学报, 2013, 33(3): 0301002. Yan Zhaojun, Li Xinyang, Rao Changhui. Multi-Channel Adaptive Control Algorithm for Closed-Loop Adaptive Optics System[J]. Acta Optica Sinica, 2013, 33(3): 0301002.

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