空间跟瞄遥感器视轴指向可靠度分析

Pointing reliability analysis of LOS of space tracking and aiming remote sensor

空间跟瞄遥感器轴系的实际位置与理论位置存在偏差,这会影响遥感器跟瞄过程中视轴指向的可靠度。在对误差源进行分析的基础上,按照误差影响对误差项进行了合并与等效,考虑轴系的零位标定,建立了同时包含线性系统误差、非线性系统误差以及随机误差的视轴指向误差半参数回归模型。采用补偿最小二乘法对系统误差进行了参数识别,通过角度补偿法消除了系统误差对视轴指向的影响。对补偿后的视轴指向误差进行了蒙特卡洛分析,获得了遥感器全跟瞄范围内的视轴指向可靠度。工程实例表明,可靠度分析过程中采用的误差模型与参数识别方法所需识别的系统误差参数仅为4个,用识别出的误差参数进行系统误差补偿后,遥感器的视轴指向可靠度由0%提升至99.89%。

The pointing reliability of LOS of remote sensor is affected during the process of tracking and aiming. The main reason is that there is deviation between the actual position and the theoretical position of the axes of space tracking and aiming remote sensor. Based on the analysis of the error source, the error terms are combined and equivalently transformed according to their influences. A semi-parametric regression model of LOS pointing error is formulated to achieve the zero calibration of axes, which includes linear system error, nonlinear system error and random error. The compensation least square method is used to identify the parameters of the system error, and the angle compensation method is used to eliminate the system error of the LOS. Monte Carlo analysis is implemented on the compensated LOS error, and the pointing reliability of LOS in the whole range of the remote sensor is obtained. The engineering example shows that only four systematic error parameters are needed, which can be identified by the error model and parameter identification method in the reliability analysis process. The pointing reliability of remote sensor is increased from 0% to 99.89% after the system error compensation with the identified error parameters.