Adaptive Gradient Estimation Stochastic Parallel Gradient Descent Algorithm for Laser Beam Cleanup

For a high-power slab solid-state laser, obtaining high output power and beam quality are the most important indicators. Adaptive optics systems can significantly improve qualities by compensating for phase distortions of laser beams. In this paper, we developed an improved algorithm called Gradient Estimation Stochastic Parallel Descent (AGESPGD) cleanup laser. A second-order gradient search point was introduced to modify estimation, it with adaptive gain coefficient method into classical (SPGD) algorithm. The accelerates convergence prevents from falling local extremum. Simulation experimental results show that reduces number iterations 40%, stability is also compared original SPGD method.