ABSTRACT This paper firstly introduces the principle of floatation support as well as its force distribution algorithms, then proposes a new floatation support algorithm. The new algorithm directly utilizes the image of the mirror surface to calculate the adjusting forces of the actuators. We use a 1.2 m thin primary mirror to verify the performances of all the algorithms, the results show the new algorithm is as effective as the best traditional algorithm. Further study shows that compared with the force-based-algorithm, the new algorithm is easier to be influenced by the fixed point’s position deviation and the S–H’s detection error, however, it’s more helpful to simplify the hardware request of floatation support as it doesn’t need the force sensors.

中文翻译：

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实验用薄主镜支撑和主动校正方法的改进

摘要 本文首先介绍了浮力支撑的原理及其受力分配算法，然后提出了一种新的浮力支撑算法。新算法直接利用镜面的图像来计算执行器的调节力。我们使用1.2 m薄的主镜来验证所有算法的性能，结果表明新算法与最佳传统算法一样有效。进一步研究表明，与基于力的算法相比，新算法更容易受定点位置偏差和S-H检测误差的影响，但更有利于简化浮动支持的硬件要求，因为它不需要力传感器。