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    Wyświetlanie 1-6 z 6
    Tytuł:
    The algorithm of adaptive determination of amplification of the PD filter estimating object state on the basis of signal measurable on-line
    Autorzy:
    Kwater, Tadeusz
    Hawro, Przemysław
    Bartman, Jacek
    Mazur, Damian
    Powiązania:
    https://bibliotekanauki.pl/articles/1409165.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    estimation
    Kalman filter
    adaptive PD filter
    filter amplification
    Opis:
    The article presents the algorithm that enables adaptive determination of the amplification coefficient in the filter equation provided by Kalman. The method makes use of an estimation error, which was defined for this purpose, and its derivative to determine the direction of correction changes of the gain vector. This eliminates the necessity to solve Riccati equation, which causes reduction of the method computational complexity. The experimental studies carried out using the proposed approach relate to the estimation of state coordinates describing river pollution using the BOD (biochemical oxygen demand) and DO (dissolved oxygen) indicators).The acquired results indicate that the suggested method does better estimations than the Kalman filter. Two indicators were used to measure the quality of estimates: the Root Mean Squared Error (RMSE) and the Mean Percentage Error (MPE).
    Źródło:
    Archives of Control Sciences; 2021, 31, 1; 129-143
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    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:
    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
    Tytuł:
    Simultaneous state and parameter estimation based actuator fault detection and diagnosis for an unmanned helicopter
    Autorzy:
    Wu, C.
    Qi, J.
    Song, D.
    Qi, X.
    Han, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/329847.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    actuator fault detection
    actuator fault diagnosis
    unmanned helicopter
    Kalman filter
    set membership filter
    adaptive scheme
    detekcja uszkodzeń
    diagnostyka uszkodzeń
    śmigłowiec bezzałogowy
    filtr Kalmana
    Opis:
    Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly. Based on actuator healthy coefficients (AHCs), which are introduced to represent actuator faults, a combined dynamic model is established with the augmented state containing both the flight state and AHCs. Then the actuator fault detection and diagnosis problem is transformed into a general nonlinear estimation one: given control inputs and the measured flight state contaminated by measurement noises, estimate both the flight state and AHCs recursively in each time-step, which is also known as the simultaneous state and parameter estimation problem. The estimated AHCs can further be used for fault tolerant control (FTC). Based on the existing widely used nonlinear estimation methods such as the unscented Kalman filter (UKF) and the extended set-membership filter (ESMF), three kinds of adaptive schemes (KF-UKF, MIT-UKF and MIT-ESMF) are proposed by our team to improve the actuator FDD performance. A comprehensive comparative study on these different estimation methods is given in detail to illustrate their advantages and disadvantages when applied to unmanned helicopter actuator FDD.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 175-187
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Servo tracking of targets at sea
    Autorzy:
    Ahmed, A.
    Brdyś, M. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908404.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    śledzenie celu
    urządzenie śledzące
    filtr Kalmana
    adaptacyjny układ sterowania
    target tracking
    tracker
    Kalman filter
    adaptive control
    Opis:
    This paper details a proposal for the position control system of a two-axis ship-mounted tracker. Aspects of the non-linear dynamics governing Line-Of-Sight (LOS) errors between the tracker and the target are presented. It is shown that the regulation of LOS errors can be achieved by introducing a feed-forward term based on the target’s velocity. This velocity is not measurable, and an estimator is required. Given that the tracking problem is non-linear, the classical separation principle does not hold, and cascading the estimator and regulator together may not lead to an optimal position control system. The ‘LQAdaptive’ system proposed here aims therefore to improve conformity to the separation principle. Simulation trials show that tracking is improved under the LQAdaptive system in comparison to a simple estimator-regulator structure.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 2; 197-207
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    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
      Wyświetlanie 1-6 z 6

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