Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm
The adjustment of optical axes is crucial for laser systems. We have previously proposed an automatic adjustment method using genetic algorithms to adjust the optical axes. However, there were still two problems that needed to be solved: (1)long adjustment times, and (2)adjustment precision due to observation noise. In order to solve these tasks, we propose a robust and efficient automatic multi-objective adjustment method using stochastic binary search algorithm. Adjustment experiments for optical axes with 4-DOF in noisy environment demonstrate that the proposed method can robustly adjust the positioning and the angle of the optical axes in about 12 minutes.
Keywordsoptical axes automatic adjustment stochastic binary search multi-objective optimization noisy environment
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