Optimization of Iterative Control Algorithms for High-Resolution Adaptive Optics Systems

As the number of wavefront sensor subapertures and deformable mirror actuators in adaptive optics systems increases, the computational time of the direct gradient wavefront control algorithm is excessively long, which is a major factor affecting the control performance of adaptive optics systems. The paper combines preprocessing techniques with sparse matrix multiplication techniques to reduce the computational complexity of the algorithm. And the convergence and wavefront control stability of the iterative algorithm are optimized. For an adaptive optical system with 1201 actuators, the computational efficiency of the proposed algorithm is increased by 5 times. And the larger the scale of the adaptive optics system, the more significant the improvement in efficiency compared to the direct gradient wavefront control algorithm.