Makale detayı · 2012
Robust Estimation of UAV Dynamics in the Presence of Measurement Faults
- Yıl
- 2012
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Journal of Aerospace Engineering
- Katalog eşleşmesi (ISSN) Journal of Aerospace Engineering
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
This study introduces a robust Kalman filter (RKF) with a filter-gain correction for cases of measurement malfunctions. Using defined variables called measurement-noise scale factors, the faulty measurements are taken into consideration with a small weight and the estimations are corrected without affecting the characteristics of the accurate ones. In this study, RKF algorithms with single and multiple scale factors are proposed and applied for the state estimation process of an unmanned aerial vehicle (UAV) platform. The results of these algorithms are compared for different types of measurement faults, and recommendations for their utilization are given.
Konular
Atıflar
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48 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 35 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- Robust Kalman filtering for small satellite attitude estimation in the presence of measurement faults 2014
- Adaptive Fading UKF with Q-Adaptation: Application to Picosatellite Attitude Estimation 2013
- Adaptive Fading UKF with Q Adaptation Application to Picosatellite Attitude Estimation 2013
- Active Fault-Tolerant Control of UAV Dynamics against Sensor-Actuator Failures 2016
- Tracy Widom distribution based fault detection approach Application to aircraft sensor actuator fault detection 2012
- Satellite attitude estimation using SVD-Aided EKF with simultaneous process and measurement covariance adaptation 2021
- Sensor and Actuator FDI Applied to an UAV Dynamic Model 2014