基于太阳能电池板的皮卫星最优姿态确定算法

为了提高皮卫星系统的设计冗余和可靠性,太阳能电池板可以复用为粗太阳敏感器.由于具有全空间视场,这一灵活的配置对周边光源有较强的敏感性,因此,在地球反照光干扰下,测量精度不高.在这一特定情况下,研究了改进的姿态确定算法,以提高卫星的姿态测量精度.根据反照光影响下电池板的实际输出情况,重新讨论Wahba问题,提出太阳能电池板定姿的新损失函数,并推导了该函数最小二乘意义下的最优姿态确定方法.与基于Wahba模型常用的四元素估计法(QUEST)相比,该模型的定姿算法具有更高的精度.蒙特卡罗仿真表明:该算法的平均定姿误差比QUEST小17%,误差标准差比QUEST小57%.

Optimal attitude determination method for pico-satellite using solar panels

Solar panels can also be used as coarse sun sensors to increase the pico-satellite system’s redundancy and reliability. This flexible setup is easily sensitive to surrounding light sources as it sees the whole sky, so with the interference of Earths albedo light, it does not show a high accuracy. To improve the performance of satellite attitude measurement in this specific situation, a modified attitude determination method was investigated. According to the actual output of solar panel with the interference of albedo light, the Wahbas problem was re-discussed, and a new loss function for optimal attitude determination was proposed. Also the method to solve the optimal weighted least square function was developed. From simulation, compared with the classic quaternion estimator (QUEST), which is based on Wahbas loss function, the suggested attitude determination method, which is based on the new loss function, shows higher accuracy. Monte Carlo simulation shows that the average attitude error of the suggested method is 17% lower than QUEST, and the standard deviation is 57% lower as well．