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    Wyświetlanie 1-4 z 4
    Tytuł:
    Comparison of four state observer design algorithms for MIMO system
    Autorzy:
    Vinodh, K. E.
    Jovitha, J
    Ayyappan, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/229209.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    luenberger observer
    Kalman observer
    unknown input observer
    sliding mode observer
    Opis:
    A state observer is a system that models a real system in order to provide an estimate of the internal state of the system. The design techniques and comparison of four different types of state observers are presented in this paper. The considered observers include Luenberger observer, Kalman observer, unknown input observer and sliding mode observer. The application of these observers to a Multiple Input Multiple Output (MIMO) DC servo motor model and the performance of observers is assessed. In order to evaluate the effectiveness of these schemes, the simulated results on the position of DC servo motor in terms of residuals including white noise disturbance and additive faults are compared.
    Źródło:
    Archives of Control Sciences; 2013, 23, 2; 243-256
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault diagnosis of non-linear dynamical systems using analytical and soft computing methods
    Autorzy:
    Korbicz, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/384480.pdf
    Data publikacji:
    2007
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    fault detection
    unknown input observer
    dynamical neural networks
    neuro-fuzzy systems
    evolutionary algorithms
    Opis:
    The paper deals with the problems of robust fault detection using analytical methods (observers and unknown input observers) and soft computing techniques (neural networks, neuro-fuzzy networks and genetic programming). The model-based approach to Fault Detection and Isolation (FDI) is considered. In particular, observers for non-linear Lipschitz systems and extended unknown input observers are discussed. In the case of soft computing techniques, the main objective is to show how to employ the bounded-error approach to determine the uncertainty of the GMDH and neuro-fuzzy networks. It is shown that based on soft computing models uncertainty defined as a confidence range for the model output, adaptive thresholds can be defined. The final part of the paper presents two illustrative examples that confirm the effectiveness of the unknown input observers and the neuro-fuzzy networks approaches.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 1; 7-23
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust fault detection of singular LPV systems with multiple time-varying delays
    Autorzy:
    Hassanabadi, A. H.
    Shafiee, M.
    Puig, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/331490.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    singular delayed LPV systems
    fault detection
    unknown input observer
    robustness
    fault sensitivity
    detekcja uszkodzeń
    odporność
    wada wrażliwości
    Opis:
    In this paper, the robust fault detection problem for LPV singular delayed systems in the presence of disturbances and actuator faults is considered. For both disturbance decoupling and actuator fault detection, an unknown input observer (UIO) is proposed. The aim is to compute a residual signal which has minimum sensitivity to disturbances while having maximum sensitivity to faults. Robustness to unknown inputs is formulated in the sense of the H∞-norm by means of the bounded real lemma (BRL) for LPV delayed systems. In order to formulate fault sensitivity conditions, a reference model which characterizes the ideal residual behavior in a faulty situation is considered. The residual error with respect to this reference model is computed. Then, the maximization of the residual fault effect is converted to minimization of its effect on the residual error and is addressed by using the BRL. The compromise between the unknown input effect and the fault effect on the residual is translated into a multi-objective optimization problem with some LMI constraints. In order to show the efficiency and applicability of the proposed method, a part of the Barcelona sewer system is considered.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 45-61
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Active fault tolerance control of a wind turbine system using an unknown input observer with an actuator fault
    Autorzy:
    Li, S.
    Wang, H.
    Aitouche, A.
    Tian, Y.
    Christov, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/329822.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    wind turbine system
    linear parameter varying system
    fault tolerant control
    unknown input observer
    elektrownia wiatrowa
    sterowanie tolerujące uszkodzenia
    obserwator wejściowy
    Opis:
    This paper proposes a fault tolerant control scheme based on an unknown input observer for a wind turbine system subject to an actuator fault and disturbance. Firstly, an unknown input observer for state estimation and fault detection using a linear parameter varying model is developed. By solving linear matrix inequalities (LMIs) and linear matrix equalities (LMEs), the gains of the unknown input observer are obtained. The convergence of the unknown input observer is also analysed with Lyapunov theory. Secondly, using fault estimation, an active fault tolerant controller is applied to a wind turbine system. Finally, a simulation of a wind turbine benchmark with an actuator fault is tested for the proposed method. The simulation results indicate that the proposed FTC scheme is efficient.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 69-81
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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