Coherent beam combination based on particle swarm optimization algorithm

Qi Chang; Rongtao Su; Tianyue Hou; Pengfei Ma; Yanxing Ma; Pu Zhou

doi:10.1117/12.2547894

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18 December 2019 Coherent beam combination based on particle swarm optimization algorithm

Qi Chang, Rongtao Su, Tianyue Hou, Pengfei Ma, Yanxing Ma, Pu Zhou

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Proceedings Volume 11333, AOPC 2019: Advanced Laser Materials and Laser Technology; 1133319 (2019) https://doi.org/10.1117/12.2547894
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

A novel method for active coherent beam combining by Particle Swarm Optimization (PSO) algorithm is demonstrated in this paper. The principle of this method is introduced, and its advantages are presented in detail. In the simulation, 37 fiber lasers are coherently combined by employing stochastic parallel gradient descent algorithm with 91 steps, and then, the combined beams are combined by PSO algorithm with only 30 steps. And the result shows that the more laser elements, the more remarkable PSO algorithm is in the CBC system. Because of the high control ability of PSO algorithm in coherent beam combining combined with traditional algorithm, it is scalable to phase-locking system in a large number of fiber lasers.

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Qi Chang, Rongtao Su, Tianyue Hou, Pengfei Ma, Yanxing Ma, and Pu Zhou "Coherent beam combination based on particle swarm optimization algorithm", Proc. SPIE 11333, AOPC 2019: Advanced Laser Materials and Laser Technology, 1133319 (18 December 2019); https://doi.org/10.1117/12.2547894

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