Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter

As a result of the development of modern vehicles, even higher accuracy standards are demanded. As known, Inertial Navigation Systems have an intrinsic increasing error which is the main reason of using integrating navigation systems, where some other sources of measurements are utilized, such as ba...

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Main Authors: Alberto Mañero Contreras, Chingiz Hajiyev
Format: Article
Language:English
Published: Polish Academy of Sciences 2019-12-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:https://journals.pan.pl/Content/113105/PDF/07_MMS_4_INTERNET.pdf
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author Alberto Mañero Contreras
Chingiz Hajiyev
author_facet Alberto Mañero Contreras
Chingiz Hajiyev
author_sort Alberto Mañero Contreras
collection DOAJ
description As a result of the development of modern vehicles, even higher accuracy standards are demanded. As known, Inertial Navigation Systems have an intrinsic increasing error which is the main reason of using integrating navigation systems, where some other sources of measurements are utilized, such as barometric altimeter due to its high accuracy in short times of interval. Using a Robust Kalman Filter (RKF), error measurements are absorbed when a Fault Tolerant Altimeter is implemented. During simulations, in order to test the Nonlinear RKF algorithm, two kind of measurement malfunction scenarios have been taken into consideration; continuous bias and measurement noise increment. Under the light of the results, some recommendations are proposed when integrated altimeters are used.
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spelling doaj.art-bf28d70bfdab4e4d8c1ef6679f1afb212022-12-22T00:54:26ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412019-12-01vol. 26No 4673686https://doi.org/10.24425/mms.2019.129586Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeterAlberto Mañero ContrerasChingiz HajiyevAs a result of the development of modern vehicles, even higher accuracy standards are demanded. As known, Inertial Navigation Systems have an intrinsic increasing error which is the main reason of using integrating navigation systems, where some other sources of measurements are utilized, such as barometric altimeter due to its high accuracy in short times of interval. Using a Robust Kalman Filter (RKF), error measurements are absorbed when a Fault Tolerant Altimeter is implemented. During simulations, in order to test the Nonlinear RKF algorithm, two kind of measurement malfunction scenarios have been taken into consideration; continuous bias and measurement noise increment. Under the light of the results, some recommendations are proposed when integrated altimeters are used.https://journals.pan.pl/Content/113105/PDF/07_MMS_4_INTERNET.pdffault tolerancerobust kalman filteringintegrated altimeter
spellingShingle Alberto Mañero Contreras
Chingiz Hajiyev
Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
Metrology and Measurement Systems
fault tolerance
robust kalman filtering
integrated altimeter
title Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
title_full Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
title_fullStr Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
title_full_unstemmed Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
title_short Robust Kalman filter-based fault-tolerant integrated Baro-Inertial-GPS altimeter
title_sort robust kalman filter based fault tolerant integrated baro inertial gps altimeter
topic fault tolerance
robust kalman filtering
integrated altimeter
url https://journals.pan.pl/Content/113105/PDF/07_MMS_4_INTERNET.pdf
work_keys_str_mv AT albertomanerocontreras robustkalmanfilterbasedfaulttolerantintegratedbaroinertialgpsaltimeter
AT chingizhajiyev robustkalmanfilterbasedfaulttolerantintegratedbaroinertialgpsaltimeter