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An extended kalman filter for spinning spacecraft attitude estimation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Baker, David F. |
| Copyright Year | 1991 |
| Description | An extended Kalman filter for real-time ground attitude estimation of a gyro-less spinning spacecraft was developed and tested. The filter state vector includes the angular momentum direction, phase angle, inertial nutation angle, and inertial and body nutation rates. The filter solves for the nutating three-axis attitude and accounts for effects due to principle axes offset from the body axes. The attitude is propagated using the kinematics of a rigid body symmetric about the principle spin axis; disturbance torques are assumed to be small. Filter updates consist only of the measured angles between celestial objects (Sun, Earth, etc.) and the nominal spin axis, and the times these angles were measured. Both simulated data and real data from the Dynamics Explorer -A (DE-A) spacecraft were used to test the filter; the results are presented. Convergence was achieved rapidly from a wide range of a priori state estimates, and sub-degree accuracy was attained. Systematic errors affecting the solution accuracy are discussed, as are the results of an attempt to solve for sensor measurement angle biases in the state vector. |
| File Size | 823751 |
| Page Count | 18 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920004873 |
| Archival Resource Key | ark:/13960/t5s808t61 |
| Language | English |
| Publisher Date | 1991-10-01 |
| Access Restriction | Open |
| Subject Keyword | Spacecraft Instrumentation Rigid Structures Torque Error Analysis Phase Shift Estimates Real Time Operation Convergence Attitude Inclination State Vectors Explorer Satellites Angular Momentum Kinematics Inertia Nutation Kalman Filters Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
