An Efficient Method for Wavefront Aberration Correction Based on the RUN Optimizer
| Autor: | Huizhen Yang, Xiangdong Zang, Peng Chen, Xingliu Hu, Yongqiang Miao, Zhaojun Yan, Zhiguang Zhang |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Photonics, Vol 11, Iss 1, p 29 (2023) |
| Druh dokumentu: | article |
| ISSN: | 11010029 2304-6732 |
| DOI: | 10.3390/photonics11010029 |
| Popis: | The correction of wavefront aberrations in wavefront sensorless (WFS-less) adaptive optical (AO) systems requires control algorithms that can ensure rapid convergence while maintaining effective correction capabilities. This paper proposes a novel control algorithm based on the RUNge Kutta optimizer (RUN) for WFS-less AO systems that enables the quick and efficient correction of small aberrations, as well as larger aberrations. To evaluate the convergence speed and correction capabilities of a WFS-less AO system based on the RUN control algorithm, we constructed a simulated AO system and an experimental setup with a 97-element deformable mirror (DM), respectively. Additionally, the results obtained with the Particle Swarm Optimization (PSO) algorithm, Differential Evolution Algorithm (DEA), and Genetic Algorithm (GA) are also provided for comparison and analysis. Both the simulated and experimental results consistently demonstrated that our proposed method outperformed several competing algorithms in terms of correction performance and convergence speed. Furthermore, the experimental results further validate the effectiveness of our control algorithm in scenarios involving significant aberrations. |
| Databáze: | Directory of Open Access Journals |
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