Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 11,
  • Issue 11,
  • pp. 110101-
  • (2013)

Analysis and demonstration of PID algorithm based on arranging the transient process for adaptive optics

Not Accessible

Your library or personal account may give you access

Abstract

The fastness and robustness of a control algorithm are highly important in the performance of adaptive optics systems. The proportional-integral-derivative control with arranging the transient process, which is designed using a tracking differentiator, is applied into an adaptive optics system. This control algorithm greatly improves the dynamic properties of the control system. To identify the underlying reasons for these improvements, the influence of the control algorithm is theoretically discussed. The control algorithm is verified by a simple adaptive optics system for tip/tilt correction. The experimental results demonstrate that the control algorithm is fast and robust.

© 2013 Chinese Optics Letters

PDF Article
More Like This
PID Controller Based on a Self-Adaptive Neural Network to Ensure QoS Bandwidth Requirements in Passive Optical Networks

N. Merayo, D. Juárez, Juan C. Aguado, I. de Miguel, R. J. Durán, P. Fernández, R. M. Lorenzo, and E. J. Abril
J. Opt. Commun. Netw. 9(5) 433-445 (2017)

Adaptive optics based on analog parallel stochastic optimization: analysis and experimental demonstration

Mikhail A. Vorontsov, Gary W. Carhart, Marc Cohen, and Gert Cauwenberghs
J. Opt. Soc. Am. A 17(8) 1440-1453 (2000)

Performance of the 37-element solar adaptive optics for the 26 cm solar fine structure telescope at Yunnan Astronomical Observatory

Changhui Rao, Lei Zhu, Xuejun Rao, Chunlin Guan, Donghong Chen, Shanqiu Chen, Jun Lin, and Zizhong Liu
Appl. Opt. 49(31) G129-G135 (2010)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.