Blain Célia, Guyon Olivier, Bradley Colin, Lardière Olivier
University of Victoria, Department of Mechanical Engineering, PO Box 3055, Stn. CSC, Victoria, BC, V8W 3P6, Canada.
Opt Express. 2011 Oct 24;19(22):21271-94. doi: 10.1364/OE.19.021271.
We present a fast and high accuracy iterative algorithm to control Micro-Electro-Mechanical-System (MEMS) deformable mirrors (DMs) for open-loop (OL) adaptive optics (AO) applications. Our approach relies on a simple physical model for the forces applied on DM actuators and membrane, defined by a small number of parameters that we measure in an experimental setup. The algorithm iteratively applies forces and updates actuator displacements, allowing real-time utilization in an Extreme-AO system (control rate ≥ Khz). Our measurements show that it reproduces Kolmogorov type phase screens with an error equal to 7.3% of the rms of the desired phase (1.6% of the peak-to-valley of the desired phase). This performance corresponds to an improvement of a factor three compared to the standard quadratic model (common relation between voltage and actuator displacement). Originally developed for the DM control of the Subaru Coronagraphic Extreme-AO (SCExAO) project, the algorithm is also suitable for Multi-Object AO systems.
我们提出了一种快速且高精度的迭代算法，用于控制微机电系统（MEMS）变形镜（DMs），以用于开环（OL）自适应光学（AO）应用。我们的方法依赖于一个简单的物理模型，该模型用于描述施加在DM致动器和薄膜上的力，由我们在实验装置中测量的少量参数定义。该算法迭代地施加力并更新致动器位移，从而能够在极端自适应光学系统（控制速率≥千赫兹）中实时应用。我们的测量结果表明，它能够再现科尔莫戈罗夫型相位屏，误差等于所需相位均方根的7.3%（所需相位峰谷值的1.6%）。与标准二次模型（电压与致动器位移之间的常见关系）相比，这一性能提升了三倍。该算法最初是为斯巴鲁日冕仪极端自适应光学（SCExAO）项目的DM控制而开发的，也适用于多目标AO系统。
