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基于多传感器信息融合的卫星姿态确定技术研究.docx


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国防科学技术大学研究生院学位论文
The dissertation,taking a specific meteorologic satellite as all example,studies theoretically the design of the attitude determination system for the three-axis stabilized attitude seusors and estimation methods for attitude determination were numerical
examples for these models arc given,
With the dynamic model of satelfite’s attitude applied,the estimate models of attitude determination based on Euler angle method arc the estimate model,the schemes of attitude determination in the period of stabilized control based On Extended Kalman Filter(EKF)algorithm are studied,using such as infrared horizon sensors only,,star sensors only,
both in盘缸ed horizon sensors and star sensors,both star sensors and gyros,both infrared horizon sensors and gyros,both ic sensors and gyros and SO attitude determination method using gyros only in the period of speed damping are studied.
With the kinematic model of satellite’S attitude applied,the estimate models of attitude determination based Oil Euler angle method are the estimate model,the
schemes of attitude determination using both star sensors and gyros in the period of stabilizing
control based on Extended Kalman Filter俺KF)algorithm arc studied.
Numerical examples for these algorithms ale simulated and results show that the algorithms have quite stability,astringency and certain middle and hi。gh precision requirement,these algorithms have an applicable future in the attitude
determination of the three—axis stabilizing satellite and the serf-contained navigation system.
Key Words:Three-axis Stabilized Satellite,Attitude Sensors,Attitude Determination, Kalman Filtering
国防科学技术大学研究生院学位论文
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  • 时间2018-06-25