کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8055722 1519910 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Entropy-based adaptive attitude estimation
ترجمه فارسی عنوان
برآورد نگرش انطباق مبتنی بر آنتروپی
کلمات کلیدی
برآورد سازگار مبتنی بر نوآوری، آنتروپی نسبی، سطح اعتماد، فیلتر کوباتور کالمن، برآورد نگرش،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی
Gaussian approximation filters have increasingly been developed to enhance the accuracy of attitude estimation in space missions. The effective employment of these algorithms demands accurate knowledge of system dynamics and measurement models, as well as their noise characteristics, which are usually unavailable or unreliable. An innovation-based adaptive filtering approach has been adopted as a solution to this problem; however, it exhibits two major challenges, namely appropriate window size selection and guaranteed assurance of positive definiteness for the estimated noise covariance matrices. The current work presents two novel techniques based on relative entropy and confidence level concepts in order to address the abovementioned drawbacks. The proposed adaptation techniques are applied to two nonlinear state estimation algorithms of the extended Kalman filter and cubature Kalman filter for attitude estimation of a low earth orbit satellite equipped with three-axis magnetometers and Sun sensors. The effectiveness of the proposed adaptation scheme is demonstrated by means of comprehensive sensitivity analysis on the system and environmental parameters by using extensive independent Monte Carlo simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Acta Astronautica - Volume 144, March 2018, Pages 271-282
نویسندگان
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