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    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:
    State estimators and observers for continuous and discrete linear systems. Part 1. Differential asymptotic state estimators
    Autorzy:
    Byrski, J.
    Byrski, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/93134.pdf
    Data publikacji:
    2018
    Wydawca:
    Państwowa Wyższa Szkoła Zawodowa w Tarnowie
    Tematy:
    linear estimator
    Kalman filter
    Luenberger observer
    exact state observer
    linear system
    estymator liniowy
    filtr Kalmana
    obserwator Luenbergera
    dokładny obserwator stanu
    system liniowy
    Opis:
    In the paper an overview of state estimators and state observers used in linear systems, will be presented. The state estimators and observers can be used in many applications like the state reconstruction for the control purposes or for the diagnosis and fault detection in technical processes or for the virtual measurements of inaccessible variables of the system as well as for the best filtration of the differential equation solution. As the standard most commonly the Kalman filter and Luenberger type observers are used. Although the Kalman filter guarantees optimal filtering quality of the state, reconstructed from the noisy measurements, both Kalman filter and the Luenberger observer guarantee only asymptotic quality of the real state changes and tracking, basing on the current measurements of the system output and input signals. Unfortunately, the value of the estimation error at any moment of time cannot be calculated. The discussion on differences between continuous and two types of discrete Kalman Filter will be presented. This paper is planned to be the introduction to presentation of another type of the state observers which have the structure given by the integral operators. Based on measurements of the system output and input signals on some predefined finite time interval, they can reconstruct, after this interval, the observed state exactly.
    Źródło:
    Science, Technology and Innovation; 2018, 3, 2; 62-68
    2544-9125
    Pojawia się w:
    Science, Technology and Innovation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault diagnosis-based observers using Kalman filters and Luenberger estimators: Application to the pitch system fault actuators
    Autorzy:
    Zemali, Zakaria
    Cherroun, Lakhmissi
    Hadroug, Nadji
    Nadour, Mohamed
    Hafaifa, Ahmed
    Powiązania:
    https://bibliotekanauki.pl/articles/2174470.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    fault detection
    estimation
    pitch system
    Kalman filter
    Luenberger observer
    wykrywanie uszkodzeń
    estymacja
    filtr Kalmana
    obserwator Luenbergera
    Opis:
    This paper aims to present a robust fault diagnosis structure-based observers for actuator faults in the pitch part system of the wind turbine benchmark. In this work, two linear estimators have been proposed and investigated: the Kalman filter and the Luenberger estimator for observing the output states of the pitch system in order to generate the appropriate residual between the measured positions of blades and the estimated values. An inference step as a decision block is employed to decide the existence of faults in the process, and to classify the detected faults using a predetermined threshold defined by upper and lower limits. All actuator faults in the pitch system of the horizontal wind turbine benchmark are studied and investigated. The obtained simulation results show the ability of the proposed diagnosis system to determine effectively the occurred faults in the pitch system. Estimation of the output variables is effectively realized in both situations: without and with the occurrence of faults in the studied process. A comparison between the two used observers is demonstrated.
    Źródło:
    Diagnostyka; 2023, 24, 1; art. no. 2022110
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear state observers and extended Kalman filters for battery systems
    Autorzy:
    Rauh, A.
    Butt, S. S.
    Aschemann, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/330696.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    observer
    state estimation
    Riccati equations
    extended Kalman filter
    parameter estimation
    obserwator
    estymacja stanu
    równanie różniczkowe Riccatiego
    filtr Kalmana
    estymacja parametryczna
    Opis:
    The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter variations are directly accessible by measurements. Moreover, this work provides a comparison of the performance of different observer and filtering techniques as well as a development of estimation procedures that guarantee a reliable detection of large parameter variations. For that reason, different charging and discharging current profiles of batteries are investigated by numerical simulations. The estimation procedures considered in this paper are, firstly, a nonlinear Luenberger-type state observer with an offline calculated gain scheduling approach, secondly, a continuous-time extended Kalman filter and, thirdly, a hybrid extended Kalman filter, where the corresponding filter gains are computed online.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 3; 539-556
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Disturbance modeling and state estimation for offset-free predictive control with state-space process models
    Autorzy:
    Tatjewski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/330146.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model predictive control
    state space model
    disturbance rejection
    state observer
    Kalman filter
    sterowanie predykcyjne
    model przestrzeni stanów
    eliminacja zakłóceń
    obserwator stanu
    filtr Kalmana
    Opis:
    Disturbance modeling and design of state estimators for offset-free Model Predictive Control (MPC) with linear state-space process models is considered in the paper for deterministic constant-type external and internal disturbances (modeling errors). The application and importance of constant state disturbance prediction in the state-space MPC controller design is presented. In the case with a measured state, this leads to the control structure without disturbance state observers. In the case with an unmeasured state, a new, simpler MPC controller-observer structure is proposed, with observation of a pure process state only. The structure is not only simpler, but also with less restrictive applicability conditions than the conventional approach with extended process-and-disturbances state estimation. Theoretical analysis of the proposed structure is provided. The design approach is also applied to the case with an augmented state-space model in complete velocity form. The results are illustrated on a 2 x 2 example process problem.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 2; 313-323
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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