Designing the actuator distribution of DM based on SPGD optimization

Huafeng Yang; Changhui Rao; Yudong Zhang; Wenhan Jiang; Huizhen Yang

doi:10.1117/12.783138

27 November 2007 Designing the actuator distribution of DM based on SPGD optimization

Huafeng Yang, Changhui Rao, Yudong Zhang, Wenhan Jiang, Huizhen Yang

Proceedings Volume 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 67222C (2007) https://doi.org/10.1117/12.783138
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

In this paper, we have attempted the stochastic parallel gradient descent (SPGD) algorithm to optimize actuator distribution of deformable mirrors (DM) in an adaptive optics (AO) system. In this process, we use the gauss model as the influence function of DM, and the least square-fitting algorithm is performed to fit aberration wavefront. The center locations of all actuators will be optimized as the controlled parameters, and the RMS of residual wavefront is used directly as cost function for gradient estimation. Numerical simulations for the 32 actuators DM are presented. We get the relative steady optimized distribution of the actuators on the DM for every Zernike wavefront, which can decrease the errors of residual wavefront effectively compared to square pattern. The results show that the optimized distribution of actuators has obvious symmetrical relativity with variety of corrected objects; and it is advisable to place some of the actuators at the outer edge of the effective aperture. The SPGD algorithm has been proved valid for DM design, while the corrected wavefront has some regularity.

Citation Download Citation

Huafeng Yang, Changhui Rao, Yudong Zhang, Wenhan Jiang, and Huizhen Yang "Designing the actuator distribution of DM based on SPGD optimization", Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 67222C (27 November 2007); https://doi.org/10.1117/12.783138

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