- Tytuł:
- An Algorithm for Improving the Accuracy of Systems Measuring Parameters of Moving Objects
- Autorzy:
-
Dichev, D.
Koev, H.
Bakalova, T.
Louda, P. - Powiązania:
- https://bibliotekanauki.pl/articles/221344.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
Kalman filter
adaptive algorithm
dynamic measurements
dynamic error
adaptive measuring systems - Opis:
- The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.
- Źródło:
-
Metrology and Measurement Systems; 2016, 23, 4; 555-565
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł