On multirate control of a fast-rate beam steering system using slow-rate image sensor feedback

J. Tani, Sandipan Mishra, J. Wen
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引用次数: 4

Abstract

This paper demonstrates the use of a slow-rate image sensor for control of a fast-rate beam steering system. The image sensor is modeled as an integrative intensity sensor, from which fast-rate dynamics may be estimated by appropriate motion-field extraction. These fast-rate state estimates obtained from the slow-rate image sensor are then used for a multirate model-following controller that achieves desired performance through state-matching. This is in contrast to traditional control schemes for fast-rate systems with image sensors, which rely on the slow-rate time-averaged output measurement during the exposure time of the image sensor (i.e., the first spatial moment of the acquired image), discarding the image blur as noise. We demonstrate that the proposed multirate feedback controller, which uses the entire intensity distribution at the image sensor, provides superior tracking performance than a similar multirate controller that uses only the first moment of the image (time-averaged output) as feedback measurements.
基于慢速率图像传感器反馈的快速率光束转向系统的多速率控制
本文演示了使用慢速图像传感器来控制快速光束转向系统。将图像传感器建模为一个综合强度传感器,通过适当的运动场提取,可以估计图像传感器的快速动态。从慢速图像传感器获得的这些快速率状态估计然后用于多速率模型跟踪控制器,该控制器通过状态匹配实现所需的性能。这与具有图像传感器的快速率系统的传统控制方案形成对比,后者依赖于图像传感器曝光时间(即获取图像的第一个空间时刻)期间的慢速率时间平均输出测量,将图像模糊作为噪声丢弃。我们证明了所提出的多速率反馈控制器,它使用图像传感器的整个强度分布,比仅使用图像的第一时刻(时间平均输出)作为反馈测量的类似多速率控制器提供更好的跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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