کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1718503 1013847 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linearization errorʼs measure and its influence on the accuracy of MEKF based attitude determination method
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
پیش نمایش صفحه اول مقاله
Linearization errorʼs measure and its influence on the accuracy of MEKF based attitude determination method
چکیده انگلیسی

Multiplicative Extended Kalman Filter (MEKF) is one of the most widely used satellite attitude estimation methods. However, the linearization errorʼs influence is an inherent limitation of this method. In this paper, we aim to analyze this linearization error in the typical satellite attitude determination system with star sensors and gyros. The formulation of linearization error is first derived and the curvature metric is then employed to measure the linearization error. Additionally, we show the reason why linearization error has influence on the performance of MEKF. Based on these analyses, we point out that star sensorsʼ sampling frequency, initial estimated error and accuracy of gyroʼs measurement model are the factors that could enlarge the system modelʼs linearization error. They all affect the linearization error and attitude determination accuracy by decreasing the predicted accuracy. More concretely, the influence of star sensorʼs sampling frequency is large, while initial estimated error and gyroʼs measurement error within a certain range have little influence on MEKF. Finally, combined with plenty of experiments, validity of the above analyses is verified.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 16, Issue 1, January–February 2012, Pages 61–69
نویسندگان
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