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为了提高光电探测系统指向精度,提出并对比基于参数模型和非参数模型的运动学标定算法。首先,根据系统组成,全面分析光电探测系统指向误差来源。接着,针对参数模型,运用多体系统理论建立系统指向误差模型,并应用最小二乘法对模型进行标定。然后,针对非参数模型,应用双线性插值算法进行指向误差模型标定。最后,搭建实验平台,获得用于标定和验证的两组实验数据。实验结果表明:经过参数模型标定,指向精度从141.7″提高到22.2″;经过非参数模型标定,指向精度从141.7″提高到27.9″。两种方法均能提高光电探测系统指向精度,参数模型标定指向精度略高于非参数模型标定,但是非参数模型运动学标定具有过程简单、计算量小的优势。
In order to improve the pointing accuracy of the photoelectric detection system, a kinematic calibration algorithm based on parameter model and non-parametric model is proposed and compared. First of all, according to the system composition, a comprehensive analysis of the source of photoelectric detection system pointing error. Then, according to the parametric model, the multi-body system theory is used to establish the system orientation error model, and the least square method is used to calibrate the model. Then, for the non-parametric model, the bilinear interpolation algorithm is used to calibrate the pointing error model. Finally, an experimental platform was built to obtain two sets of experimental data for calibration and verification. Experimental results show that the pointing accuracy is improved from 141.7 “to 22.2” after parameter model calibration, and the pointing accuracy is improved from 141.7 “to 27.9” after calibration by non-parametric model. Both methods can improve the pointing accuracy of the photodetection system, and the calibration precision of parameter model is slightly higher than that of non-parametric model calibration. But the non-parametric model kinematic calibration has the advantages of simple process and small calculation.