基于目标形状反射以及太阳、地球和空间目标三者的运动关系建立了空间目标的光度量测模型,分析了姿态角、角速度和目标形状对光度观测数据的影响。建立了目标姿态角与角速度的运动学模型,实现了对姿态和角速度的联合估计,并探讨了算法的自适应估计能力。仿真结果表明,该光度观测方案可实现未知姿态角与自旋角速度的估计,姿态角和角速度缓慢变化时算法具备自适应估计能力,但随着目标侧面数的增加,姿态和角速度估计误差增大且算法收敛速度变慢。
The photometric measuring model of spacial objects is established based on the shape reflection of the objects and the motion relationship among the sun, the earth and the spacial objects. The effects of the attitude, the angular speed, and the object shape on the photometric measuring data are analyzed. The kinematic model related to the attitude angle and the angular speed of the objects is established which realizes the joint estimation of the attitude and the angular speed, and the adaptive estimation capability of the algorithm is discussed. The simulation results shows that the photometric observation scheme can realize the joint estimation of unknown attitudes and angular speeds. The algorithm has an adaptive estimation ability when the attitude and the angular speed change slowly. However, with the increase of the side face number, the estimation errors of attitude and angular speed increase and the convergence rate of this algorithm decreases.