Article detail · 2013
Robust adaptive unscented Kalman filter for attitude estimation of pico satellites
- Year
- 2013
- DOI
- 10.1002/acs.2393
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue International Journal of Adaptive Control and Signal Processing
- Catalog match (ISSN) International Journal of Adaptive Control and Signal Processing
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
SUMMARY Unscented Kalman filter (UKF) is a filtering algorithm that gives sufficiently good estimation results for the estimation problems of nonlinear systems even when high nonlinearity is in question. However, in case of system uncertainty or measurement malfunctions, the UKF becomes inaccurate and diverges by time. This study introduces a fault‐tolerant attitude estimation algorithm for pico satellites. The algorithm uses a robust adaptive UKF, which performs correction for the process noise covariance (Q‐adaptation) or measurement noise covariance (R‐adaptation) depending on the type of the fault. By the use of a newly proposed adaptation scheme for the conventional UKF algorithm, the fault is detected and isolated, and the essential adaptation procedure is followed in accordance with the fault type. The proposed algorithm is tested as a part of the attitude estimation algorithm of a pico satellite. Copyright © 2013 John Wiley & Sons, Ltd.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
115 citations
OpenAlex cited_by_count (cache / database)
17 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Satellite attitude estimation using SVD-Aided EKF with simultaneous process and measurement covariance adaptation 2021
- Nontraditional Attitude Filtering with Simultaneous Process and Measurement Covariance Adaptation 2019
- Nontraditional Attitude Filtering with Simultaneous Process and Measurement Covariance Adaptation 2019
- Adaptive Stabilization of Uncertain Cortex Dynamics Under Joint Estimates and Input Constraints 2018
- Attitude filtering with uncertain process and measurement noise covariance using SVD‐aided adaptive UKF 2023
- Simultaneous Adaptation of the Process and Measurement Noise Covariances for the UKF Applied to Nanosatellite Attitude Estimation 2014
- SVD-Aided EKF for Nanosatellite Attitude Estimation Based on Kinematic and Dynamic Relations 2024
- Attitude determination of nanosatellites in the sun-eclipse phases 2017
- Robust Kalman Filter Based Estimation of AUV Dynamics in the Presence Of Sensor Faults 2018
- HARİCİ REENFEKSİYONLARA BAĞLI TÜBERKÜLOZUN UYARLAMALI KALMAN FİLTRE TEMELLİ OPTİMAL KONTROLÜ 2020