【作者】 王书廷； 曹喜滨；

【Author】 Wang Shuting, Cao Xibin Harbin Institute of Technology, Research Institute of Satellite Technology, Harbin 150001

【机构】 哈尔滨工业大学卫星技术研究所；

【摘要】 本文研究在推力器控制作用下卫星质量特性的在轨辨识问题。针对卫星的控制、状态估计、故障诊断和隔离都受卫星质量特性的未知变化影响,而通常在地面上难以精确测量卫星的质量特性,在轨燃料的消耗、结构的改变、有效载荷的增加或减少,又都将改变卫星质量特性的情况。本文提出一种采用递推最小二乘算法对卫星的质心位置和惯量矩阵等质量特性信息进行在线辨识的方法,该方法只需陀螺作为姿态敏感元件,结合推力器工作输出作为算法的输入参数,将质心位置和惯量矩阵的辨识问题解耦为两个最小二乘问题,并且互相调用辨识结果,以减小因耦合带来的辨识误差。对该方法进行数学仿真,仿真结果表明,该方法简单可靠,能够满足卫星质心位置和转动惯量矩阵在线实时估计要求。更多还原

【Abstract】 The purpose of this paper is to identify the mass property of satellite under thrusters control on-line. Spacecraft control, state estimation, and fault-detection-and-isolation systems are affected by unknown variations in the vehicle mass properties. It is often difficult to accurately measure inertia terms on the ground, while mass properties can change on-orbit as fuel is expended, the configuration changes, or payloads are added or removed. Mass property identification is achieved through recursive least squares algorithms here, only based on gyro signals and thruster outputs. The approach addresses the issue by segmenting the problem into two sub-problems which both allow closed form solution. Implementing both recursively, and with each solution using the results of the other one to minimize the bias due to coupling. Simulation results indicate that this approach is simple and effective. The proposed solution is suitable in on -board real-time computation.更多还原