Sun sensor calibration based on exact modeling with intrinsic and extrinsic parameters
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摘要: 对数字式太阳敏感器标定,现有的多项式拟合和只有内部参数的简单建模方法标定精度低,为提高标定精度,提出一种基于内外参数精确建模的标定方法.通过分析太阳敏感器标定系统的内外参数,建立太阳敏感器标定模型,基于太阳模拟器和两轴转台获取标定点数据,采用最小二乘法分两步优化得到各模型参数.该方法不需要太阳光线与太阳敏感器成像面的初始对准,操作方便,同时通过精确分离太阳敏感器内外参数,避免了标定系统外部参数误差对太阳敏感器内部参数标定的影响,且通过两步优化,进一步提高了太阳敏感器的标定精度.实验结果表明:该方法的标定精度达0.005°(±60°视场),比常用的标定方法的标定精度(0.02°)提高约4倍.Abstract: Polynomial equation fitting and simply modeling with only intrinsic parameters were generally used methods to calibrate a sun sensor, in which its accuracy was limited to 0.02° in field of view: ±60°. To improve the accuracy, a new calibration method based on integrated modeling with intrinsic and extrinsic parameters was put forward. An integrated imaging model was firstly established with intrinsic and extrinsic parameters. And then the calibration points- data were acquired by using a 2-axis rotary table and a sun simulator. Finally, a two-step procedure was presented to optimize these parameters. This method does not require initial alignment between incident light and the imaging plane, and the calibration accuracy of intrinsic parameters were immune to extrinsic parameters error by exactly separating of them. Furthermore, the calibration accuracy is greatly improved by two-step optimization. Experimental results show that the calibration accuracy reaches 0.005°(field of view: ±60°) which is 4 times of the accuracy reached by generally used methods.
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Key words:
- sun sensor /
- calibration /
- modeling /
- parameter optimization
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