空间科学学报2011，Vol.31Issue(2)：229-235,7.
基于矢量观测的陀螺故障诊断算法
Gyro Fault Diagnosis Algorithm Based on Vector Observation
摘要
Abstract
Using reaction wheels to control the attitude and thrusters for station-keeping, the satellite's inertial may be changed. A vector observation algorithm based on kinematics applied to the gyro fault diagnosis is presented in the paper. Using the Generalized Rodrigues Parameters (GRPs) to describe the satellite's attitude may avoid that the mode of quaternion is not equal to one. Using quaternion to compute the satellite's kinematics can also avoid the GRPs' complex integral. Both small change and slow decrease of angular velocity range is simulated when gyro's rapid and slow change faults occur. The result shows that the algorithm can estimate body's angular velocity effectively and diagnose the gyro fault accurately under the two situations above. The algorithm is not affected by body's inertial and control torque with a smaller amount of calculation, and have a potential value to the engineering application.关键词
陀螺/矢量观测/姿态估计/无迹卡尔曼滤波/故障诊断Key words
Gyro/ Vector observation/ Attitude estimation/ Unscented Kalman Filtering/ Fault diagnosis分类
航空航天引用本文复制引用
胡迪,董云峰..基于矢量观测的陀螺故障诊断算法[J].空间科学学报,2011,31(2):229-235,7.基金项目
985高校"卫星动态模拟技术"建设项目资助 （）
