The MEMS-based barometric altimeter inaccuracy and drift phenomenon

• Autorzy: Matyja Tomasz , Kubik Andrzej , Stanik Zbigniew

Identyfikatory

DOI

10.20858/sjsutst.2022.116.9

• Języki publikacji: EN

Abstrakty

EN

MEMS technology has made sensors for measuring barometric pressure and altitude above sea level very cheap and widely used in many consumer electronic devices. This paper presents a theoretical analysis of the sources and types of errors in the barometric altimeter using the standard atmosphere model (ISA). Methods for correcting principal errors caused by non-standard sea level conditions are described and compared. A method of correcting errors in the case of altimeter horizontal movement to the air column and total pressure measurement was proposed. It was compared with another method known from the literature. In the numerical experiment, data recorded by a bicycle computer equipped with a MEMS-based barometric altimeter was analyzed. As the GPS data of the route covered was also known, it was possible to compare the recorded altimeter data with the heights determined from the digital terrain model (DTM), which in this case were considered accurate. The error of the measured altitude calculated in this way was tried to be divided into the principal error, the external error caused by the sensor movement, and the barometer drift. Hence, a numerical experiment was carried out in which, based on the recorded data, an attempt was made to reconstruct non-standard sea level conditions and the impact of speed on the sensor measurements. Furthermore, a method of solving such a reverse problem was proposed. The results of the presented studies can be used in the design of systems correcting the indications of barometric altimeters. The accuracy of the altitude measurement is especially important for small controlled flying objects (UAH) and when recording the route of vehicles moving on the ground.

Słowa kluczowe

EN

barometric altimeter; MEMS; error correction; drift phenomenon; bicycle computer

PL

wysokościomierz barometryczny; MEMS; korekcja błędu; zjawisko dryfu; licznik rowerowy

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2022
• Tom: z. 116
• Strony: 141--162
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Matyja Tomasz

• Faculty of Transport and Aviation Engineering, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland

• https://orcid.org/0000-0001-6364-619X

autor

Kubik Andrzej

• Faculty of Transport and Aviation Engineering, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland

• https://orcid.org/000-0002-9765-6078

autor

Stanik Zbigniew

• Faculty of Transport and Aviation Engineering, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland

• https://orcid.org/0000-0003-1965-4090

Bibliografia

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• 11. Szymanski Zbigniew, Stanislaw Jankowski, Jan Szczyrek. 2012. "Reconstruction of environment model by using radar vector field histograms.". Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments. Proc. of SPIE 8454: 845422. DOI: 10.1117/12.2001354.
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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).