Font Size: a A A

Adaptive Optics System Design Based On Parallel Optimization Algorithm

Posted on:2015-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:J C HouFull Text:PDF
GTID:2370330491959640Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Non-wavefront sensor adaptive optics has been widely applied in the past decades.In this paper,a parallel adaptive optics(AO)control system architecture for adaptive wave-front correction is presented.Compared with the traditional single-channel AO system,this system attempts multiple sets of objective function information,which doesn’t need to detect the wave-front information,to improve the system performance and convergence speed.In order to compensate the introduced phase aberrations,the co-evolutionary genetic algorithm(CGA)and simulated annealing algorithm(SA)are introduced and applied to two optical paths of AO system respectively.These two kinds of technique can adaptively adjust the voltages of the deformable mirror(DM)in each optical path to reduce the difference between the target beam shape and the actual beam shape.The main research contents include the following aspects:(1)A parallel adaptive optics control system architecture for adaptive wave-front correction is presented.The main components of the system and working principle are intruded.Several kinds of objective function which are mainly used in AO are described.The main optical devices of the parallel system and working principle of them are also introduced.(2)The co-evolutionary genetic algorithm is proposed to apply to the parallel AO system,which is an improvement of the genetic algorithm.The algorithm performs the advantages of interaction and influence between different populations in the course of evolution,which can produce a faster and closer solution that is benefit to search the global optimum value of the image-quality metric.Numerical simulations and experimental results show the parallel AO system based on CGA can quickly find the optimal combination voltages of the DMs to compensate phase aberration with a faster convergence speed and a better optimal result.(3)The simulated annealing algorithm is presented to apply to the parallel AO system.The algorithm synchronization attempts two new solutions which are performed by different optical paths of DM,respectively.According to the objective function information that calculated and acceptance criteria,the best optimal solution is selected.Simulation results show that,compared with the traditional single simulated annealing algorithm,the improved algorithm significantly improves the correction capacity and speed of the static wavefront aberration phase,which make the system to maximize the compensation of wavefront distortion phase.
Keywords/Search Tags:The Parallel AO System, The Co-evolutionary Genetic Algorithm, The Parallel Simulated Annealing Algorithm
PDF Full Text Request
Related items