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    Wyświetlanie 1-3 z 3
    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
    Tytuł:
    А Меаsuring Method for Gyro-Free Determination of the Parameters of Moving Objects
    Autorzy:
    Dichev, D.
    Koev, H.
    Bakalova, T.
    Louda, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/220671.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    adaptive measuring systems
    dynamic error
    dynamic measurements
    Kalman filter
    micro-electromechanical systems
    roll
    pitch
    heel
    trim
    Opis:
    The paper presents a new method for building measuring instruments and systems for gyro-free determination of the parameters of moving objects. To illustrate the qualities of this method, a system for measuring the roll, pitch, heel and trim of a ship has been developed on its basis. The main concept of the method is based, on one hand, on a simplified design of the base coordinate system in the main measurement channel so as to reduce the instrumental errors, and, on the other hand, on an additional measurement channel operating in parallel with the main one and whose hardware and software platform makes possible performing algorithms intended to eliminate the dynamic error in real time. In this way, as well as by using suitable adaptive algorithms in the measurement procedures, low-cost measuring systems operating with high accuracy under conditions of inertial effects and whose parameters (intensity and frequency of the maximum in the spectrum) change within a wide range can be implemented.
    Źródło:
    Metrology and Measurement Systems; 2016, 23, 1; 107-118
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive Filter for Inertial Systems
    Autorzy:
    Orzyłowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/108662.pdf
    Data publikacji:
    2013
    Wydawca:
    Społeczna Akademia Nauk w Łodzi
    Tematy:
    digotal signal processing
    adaptive filtration
    Kalman filter
    inertial
    systems
    thermal systems
    Opis:
    The stochastic model of the disturbances handled by Kalman filters and the necessity of accurate identification of the dynamic model of the controlled system or process bring about a significant limitation of use of Kalman filters in practice. The paper presents filter designed for inertial systems whose models and control signals are not well known or are beyond description. The assumptions leading to a significant simplification of Kalman algorithm are described. On this basis, the algorithm with an experimentally matched parameter for the filter properties modification is introduced. An example of effective adaptive filtration is presented also.
    Źródło:
    Journal of Applied Computer Science Methods; 2013, 5 No. 1; 5-15
    1689-9636
    Pojawia się w:
    Journal of Applied Computer Science Methods
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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