Dynamics Estimation on the Sensor Error and Disturbance Source

研究了航天器姿态控制中传感器误差和干扰源的动力学估计问题。该研究的理论基础是一种新颖的自适应无迹卡尔曼滤波算法，作为本研究的成果，磁传感器偏置误差、陀螺传感器偏置误差和剩余磁偶极矩可以由一个综合估值器实时同时估计。这些传感器误差和干扰源是主要的，特别是对于纳米卫星，因此本研究成果可以为在不久的将来生产实用和先进的纳米卫星提供有力的工具。

Dynamics estimation on the sensor error and disturbance source was studied for the spacecraft attitude control. The theoretical basis of this research was the novel adaptive algorithm for the unscented Kalman filter, and as the fruits of this research, magnetic sensor bias error, gyro sensor bias error and the residual magnetic dipole moment can be estimated by one integrated estimationor, in real-time and simultaneously. These sensor errors and disturbance source are dominant especially for nano-satellites, thus the results of this research can be a powerful tool to produce practical and advanced nano-satellites in near future.