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

• Autorzy: Contreras Alberto Mañero , Hajiyev Chingiz

Identyfikatory

DOI

10.24425/mms.2019.129586

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fault tolerance; robust Kalman filtering; integrated altimeter

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2019
• Tom: Vol. 26, nr 4
• Strony: 673--686
• Opis fizyczny: Bibliogr. 11 poz., rys., tab., wzory

Twórcy

autor

Contreras Alberto Mañero

• Politecnico di Milano, School of Industrial and Information Engineering, Via Raffaele Lambruschini, 15, 20156 Milano, Italy

autor

Hajiyev Chingiz

• Istanbul Technical University, Aeronautics and Astronautics Faculty, 34467 Sarıyer, Istanbul, Turkey

Bibliografia

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