Paper
28 November 2007 High speed real-time wavefront processing system for a solid-state laser system
Yuan Liu, Ping Yang, Shanqiu Chen, Lifang Ma, Bing Xu
Author Affiliations +
Abstract
A high speed real-time wavefront processing system for a solid-state laser beam cleanup system has been built. This system consists of a core2 Industrial PC (IPC) using Linux and real-time Linux (RT-Linux) operation system (OS), a PCI image grabber, a D/A card. More often than not, the phase aberrations of the output beam from solid-state lasers vary fast with intracavity thermal effects and environmental influence. To compensate the phase aberrations of solid-state lasers successfully, a high speed real-time wavefront processing system is presented. Compared to former systems, this system can improve the speed efficiently. In the new system, the acquisition of image data, the output of control voltage data and the implementation of reconstructor control algorithm are treated as real-time tasks in kernel-space, the display of wavefront information and man-machine conversation are treated as non real-time tasks in user-space. The parallel processing of real-time tasks in Symmetric Multi Processors (SMP) mode is the main strategy of improving the speed. In this paper, the performance and efficiency of this wavefront processing system are analyzed. The opened-loop experimental results show that the sampling frequency of this system is up to 3300Hz, and this system can well deal with phase aberrations from solid-state lasers.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Liu, Ping Yang, Shanqiu Chen, Lifang Ma, and Bing Xu "High speed real-time wavefront processing system for a solid-state laser system", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683303 (28 November 2007); https://doi.org/10.1117/12.755709
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KEYWORDS
Wavefronts

Solid state lasers

CCD image sensors

Control systems

Laser systems engineering

Reconstruction algorithms

Digital signal processing

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