Adaptive optics can correct beam aberrations,which arises from atmospheric turbulence,but conventional adaptive optics system requires measuring the wavefront information with the wavefront sensor (WFS). In this paper,a sensorless adaptive optics system based on the direct optimization of a system image sharpening performance has been reported. The model-free stochastic parallel optimization algorithm a-chieves realtime compensation of wavefront error. Results show that good correction is achieved within many iterations of the algorithm.%自适应光学技术能够校正大气湍流造成的光束畸变,但常规自适应光学系统需要波前传感器测量波前信息.在本文中系统不使用波前传感器,而是以图像清晰度作为优化指标,使用无模型的随机并行梯度优化算法,对大气湍流引起的波前误差进行时实补偿,结果表明此系统算法经过多次迭代后达到很好的校正效果.
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