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Wyszukujesz frazę "unknown input observer" wg kryterium: Temat


Wyświetlanie 1-5 z 5
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:
Observer design for systems with unknown inputs
Autorzy:
Hui, S.
Żak, S.
Powiązania:
https://bibliotekanauki.pl/articles/908455.pdf
Data publikacji:
2005
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
obserwator stanu
układ niepewny
operator projekcyjny
metoda Lapunowa
state observation
unknown input observer (UIO)
projection operators
second method of Lyapunov
Opis:
Design procedures are proposed for two different classes of observers for systems with unknown inputs. In the first approach, the state of the observed system is decomposed into known and unknown components. The unknown component is a projection, not necessarily orthogonal, of the whole state along the subspace in which the available state component resides. Then, a dynamical system to estimate the unknown component is constructed. Combining the output of the dynamical system, which estimates the unknown state component, with the available state information results in an observer that estimates the whole state. It is shown that some previously proposed observer architectures can be obtained using the projection operator approach presented in this paper. The second approach combines sliding modes and the second method of Lyapunov resulting in a nonlinear observer. The nonlinear component of the sliding mode observer forces the observation error into the sliding mode along a manifold in the observation error space. Design algorithms are given for both types of observers.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 431-446
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 1-5 z 5

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