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单框架控制力矩陀螺中圆光栅的标定、补偿与精度分析

Calibration, Compensation and Accuracy Analysis of Circular Grating Used in Single Gimbal Control Moment Gyroscope.

作者信息

Yu Yue, Dai Lu, Chen Mao-Sheng, Kong Ling-Bo, Wang Chao-Qun, Xue Zhi-Peng

机构信息

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2020 Mar 6;20(5):1458. doi: 10.3390/s20051458.

DOI:10.3390/s20051458
PMID:32155875
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7085521/
Abstract

The accuracy of the circular grating is the key point for control precision of the single gimbal control moment gyroscope servo system used in civilian micro-agile satellites. Instead of using the multi reading heads to eliminate eccentricity errors, an algorithm compensation method based on a calibration experiment using a single reading head was proposed to realize a low-cost and high accuracy angular position measurement. Moreover, the traditional hardware compensation method using double reading heads was also developed for comparison. Firstly, the single gimbal control moment gyroscope system of satellites was introduced. Then, the errors caused by the installation of the reading head were studied and the mathematic models of these errors were developed. In order to construct the compensation function, a calibration experiment using the autocollimator and 24-sided prism was performed. Comparison of angle error compensation using the algorithm and hardware method was presented, and results showed that the algorithm compensation method proposed by this paper achieved the same accuracy level as the hardware method. Finally, the proposed method was further verified through a control system simulation.

摘要

圆形光栅的精度是民用微纳卫星中单框架控制力矩陀螺伺服系统控制精度的关键。提出了一种基于单读数头标定实验的算法补偿方法来实现低成本、高精度的角位置测量,而不是使用多个读数头来消除偏心误差。此外,还开发了传统的双读数头硬件补偿方法进行比较。首先,介绍了卫星单框架控制力矩陀螺系统。然后,研究了读数头安装引起的误差,并建立了这些误差的数学模型。为了构建补偿函数,进行了使用自准直仪和24面棱体的标定实验。给出了算法补偿方法和硬件补偿方法的角度误差补偿对比,结果表明本文提出的算法补偿方法与硬件方法达到了相同的精度水平。最后,通过控制系统仿真进一步验证了所提方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/42c7a07f4dfe/sensors-20-01458-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/5fefa1e687a1/sensors-20-01458-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/99d033a424a6/sensors-20-01458-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/42c7a07f4dfe/sensors-20-01458-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/5fefa1e687a1/sensors-20-01458-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/99d033a424a6/sensors-20-01458-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e5/7085521/42c7a07f4dfe/sensors-20-01458-g008.jpg

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