Title :
Optimization and Analysis of Deformable Mirror Supporting Structure
Author :
Zhao, Fu ; Gong, Yanjue ; Li Zhang ; Xin, Hongbing ; Wang, Ping
Author_Institution :
Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
The mechanical characteristics of deformable mirror (DM) supporting structure have great influence on the imaging quality of optical system in adaptive optics (AO) system. This paper discusses optimum design for a kind of DM supporting structure. The original resonance frequency and modes shape of the supporting structure are obtained by the FEA method and the dynamic theory. Then a group of optimization structure parameters are determined with the BP neural networks and genetic algorithm optimal methods. In the end, the random vibration analysis results show that the dynamic stiffness of the optimized DM supporting structure has been improved greatly.
Keywords :
adaptive optics; backpropagation; deformation; finite element analysis; genetic algorithms; mirrors; neural nets; optical computing; BP neural networks; FEA method; adaptive optics; dynamic stiffness; dynamic theory; genetic algorithm optimal methods; mechanical characteristics; optimization structure parameters; random vibration analysis; resonance frequency; structure deformable mirror supporting structures; Adaptive optics; Delta modulation; Genetic algorithms; Mirrors; Neural networks; Optical imaging; Optimization methods; Resonance; Resonant frequency; Shape;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.48
