一种基于并行化方法的自适应光学闭环预测控制器

自适应光学系统的性能受限于伺服系统的延迟误差和波前传感器的光电子噪声。提出了一种多模型单变量预测模型，该模型采用基于Levenberg-Marquardt学习算法的前馈型神经网络。利用计算机多核处理器，设计了一个具有并行处理能力的预测控制器，来实现对自适应光学闭环控制电压的预测，以消除延迟误差的影响。通过数值仿真实验，研究了预测控制器对控制电压和远场斯特雷尔比的影响，与未采用预测控制器的系统进行了比较，并对预测算法的并行性能进行了分析。实验结果表明，使用并行化方法的预测控制器可以有效缩短系统的预测时间，提高预测算法的加速比，与经典比例积分（PI）控制算法相比可以更有效地降低系统由于伺服延迟引起的误差，远场的斯特雷尔比有明显地提高。

Abstract

Performance of adaptive optics (AO) system is limited by the delay errors caused by the servo system and photoelectron noise at the wavefront sensor. A multi-model univariate prediction model is proposed, which is based on the two-layer back propagation neural network with Levenberg-Marquardt learning algorithm. Using the multi-core processors, a novel predictive controller with parallel processing capabilities is designed that is able to predict the control voltage in the closed-loop AO system and eliminate the delay errors. Through numerical simulation, the prediction performance and parallel efficiency are studied. The control voltages of the AO system and the Strehl ratio are calculated and compared for the multi-model univariate prediction algorithm and proportional integral (PI) control algorithm. The results show that the residual error caused by servo delay in the system and Strehl ratio are improved effectively by using the predictive controller than by using the PI control algorithm. The prediction time is reduced by using multi-model univariate prediction algorithm.

参考文献

[1] R. K. Tyson. Principles of Adaptive Optics ［M］. San Diego: Academic Press, 1991. 1～23,53～97

[2] 姜文汉, 张雨东, 饶长辉等. 中国科学院光电技术研究所的自适应光学研究进展［J］. 光学学报, 2011, 31(9): 0900106

Jiang Wenhan, Zhang Yudong, Rao Changhui et al.. Progress on adaptive optics of Institute of Optics and Electronics, Chinese Academy of Sciences［J］. Acta Optica Sinica, 2011, 31(9): 0900106

[3] 李敏, 陈波, 李新阳等. 基于线性相位反演技术的自适应光学动态像差校正闭环实验研究［J］. 中国激光, 2010, 37(4): 954～958

Li Min, Chen Bo, Li Xinyang et al.. Close-loop experiment of an adaptive optics system on the dynamic aberrations based on linear phase retrieval technique［J］. Chinese J. Lasers, 2010, 37(4): 954～958

[4] 李新阳, 姜文汉.自适应光学系统的控制残余方差分析［J］. 光学学报, 2000, 20(10): 1328～1334

Li Xinyang, Jiang Wenhan. Analysis of the residual servo variance for an adaptive optics system［J］. Acta Optica Sinica, 2000, 20(10): 1328～1334

[5] M. B. Jorgenson, G. J. M. Aitken. Prediction of atmospherically induced wave-front degradations［J］. Opt. Lett., 1992, 17(7): 466～468

[6] L. C. Johnson, D. T. Gavel, D. M. Wiberg. Bulk wind estimation and prediction for adaptive optics control systems [J]. J. Opt. Soc. Am. A, 2011, 28(8): 1566～1577

[7] L. Poyneer, J. P. Véran. Predictive wavefront control for adaptive optics with arbitrary control loop delays［J］. J. Opt. Soc. Am. A, 2008, 25(7): 1486～1496

[8] M. R. D. Montera, B. Welsh, D. Ruck. Processing wave-front slope measurements using artificial neural networks ［J］. Appl. Opt., 1996, 35(21): 4238～4251

[9] R. M. Brockie, M. Wells, P. Gallant et al.. Predictors in the servo-loop of an AO system ［C］. SPIE, 1998, 3353: 1186～1192

[10] P. J. Gallant, G. J. M. Aitken. Genetic algorithm design of neural network wavefront predictors［C］. SPIE, 2003, 4884: 282～290

[11] W. J. Wild. Predictive optimal estimators for adaptive optics systems ［J］. Opt. Lett., 1996, 21(18): 1433～1435

[12] C. Dessenne, P. Y. Madec, G. Rousset. Modal prediction for closed-loop adaptive optics ［J］. Opt. Lett., 1997, 22(20): 1535～1537

[13] Chao Liu, Lifa Hu, Zhaoliang Cao et al.. Zonal slope prediction for open-loop adaptive optics ［J］. Opt. Lett., 2011, 36(22): 4461～4463

[14] 张秀娟, 李新阳, 张慧敏. 利用复原电压预测大气湍流畸变波前方法［J］. 强激光与粒子束, 2006, 18(5): 757～760

Zhang Xiujuan, Li Xinyang, Zhang Huimin. Prediction algorithm for atmosphere turbulence with control voltage of deformable mirror ［J］. High Power Laser and Particle Beams, 2006, 18(5): 757～760

[15] 颜召军, 李新阳. 基于神经网络的自适应光学系统变形镜控制电压预测方法［J］. 光学学报, 2010, 30(4): 911～916

Yan Zhaojun, Li Xinyang. Neural network prediction algorithm for control voltage of deformable mirror in adaptive optical system［J］. Acta Optica Sinica, 2010, 30(4): 911～916

[16] 颜召军, 李新阳, 饶长辉. 一种自适应光学闭环系统预测控制算法的仿真研究［J］. 光学学报, 2011, 31(1): 0101003

Yan Zhaojun, Li Xinyang, Rao Changhui. Numerical simulation of a prediction control algorithm for close-loop adaptive optical system［J］. Acta Optica Sinica, 2011, 31(1): 0101003

史晓雨, 冯勇, 陈颖, 谭治英, 孙治, 李新阳. 一种基于并行化方法的自适应光学闭环预测控制器[J]. 光学学报, 2012, 32(8): 0801005. Shi Xiaoyu, Feng Yong, Chen Ying, Tan Zhiying, Sun Zhi, Li Xinyang. A Novel Predictive Controller in the Adaptive Optics Control System Based on Parallelization Method[J]. Acta Optica Sinica, 2012, 32(8): 0801005.

一种基于并行化方法的自适应光学闭环预测控制器

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