Predictive Filtering for Attitude Estimation Without Rate Sensors
Прогнозирующая фильтрация для оценки ориентации без датчиков угловой скорости
1997-05-01
SCID: 54.1/bu8jbfjr
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SAMPEX spacecraftmagnetometer measurementspredictive filteringrate-sensor-free estimationspacecraft attitude estimation
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Abstract (AI)
A real-time predictive e lter is derived for spacecraft attitude estimation without the utilization of angular rate measurements from gyros. The formulation is shown using only attitude sensors (three-axis magnetometers, sun sensors,startrackers, etc. ).Thenew real-timenonlineare lter predicts the requiredtorquemodeling errorinput in ordertopropagatethespacecraftdynamicmodel,sothatmodelresponsesmatchthemeasuredvectorobservations. The real-time predictive e lter is used to estimate the attitude of the Solar, Anomalous, Magnetospheric Particle Explorer (SAMPEX) spacecraft. Results using this new algorithm indicate that the real-time predictive e lter accurately estimates the attitude of an actual spacecraft with the sole use of magnetometer sensor measurements.
Key Findings
1
A real-time nonlinear predictive filter estimates spacecraft attitude without using angular-rate measurements from gyroscopes.
2
Applied to the SAMPEX spacecraft, the filter accurately estimated attitude using only magnetometer measurements.
3
The filter predicts torque-modeling errors and applies them to propagate spacecraft dynamics so model responses match measured vector observations.
4
The method uses attitude sensors—including magnetometers, sun sensors, and star trackers—to support attitude estimation.
Research Object
spacecraft attitude dynamics, specifically the SAMPEX spacecraft
Research Subject
attitude estimation accuracy without angular-rate measurements, using magnetometer observations and predictive torque-model error compensation
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