CSpace
A parallel system for adaptive optics based on parallel mutation PSO algorithm
Chen, Ying1; Feng, Yong2; Li, Xinyang1
2014
摘要

Wavefront sensor-less adaptive optics technology has a much higher requirement for the processing speed than ever before. To improve the efficiency of particle swarm optimization (PSO), this paper proposes a novel parallel mutation particle swarm optimization (PMPSO) algorithm based on a master-slave model, The parallel system based on PMPSO algorithm is applied in a 61-element adaptive optics system to control the deformable mirror. The experimental results show that the parallel system based on PMPSO algorithm has a rapid convergence speed, which can effectively correct the wavefront aberration. (C) 2013 Published by Elsevier GmbH.

关键词Adaptive Optics Parallel System Particle Swarm Optimization
DOI10.1016/j.ijleo.2013.06.042
发表期刊OPTIK
ISSN0030-4026
卷号125期号:1页码:329-332
收录类别SCI
WOS记录号WOS:000329537300072
语种英语