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    Tytuł:
    Machine Tool Control with Additional Measurement for Increasing the Control System Dynamics
    Autorzy:
    Strakoš, P.
    Valášek, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/971176.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    machine tool
    additional measurement
    predictive control
    Kalman filter
    Opis:
    As a typical type of controller in the area of machine tools the classical cascade controller is used. It consists of several PI control loops and allows the position control of the machine tool. This type of controller is easy to be implemented and gives satisfactory results but only in the case that the sufficiently stiff machine tool is being controlled. If adverse is true the performance of the controller deteriorates. This is due to the fact, that the controller is limited by the structural properties of the machine tool. The bandwidth of the controller is restricted by the position of the first anti-resonant frequency of the machine tool. The control techniques overcoming this limitation have been extensively researched. As a result the control technique employing the additional measurement of TCP, the model-based predictive control and the Kalman filter is used and delivers the increased control system dynamics. The paper deals with the description of the proposed control concept and the practical methods for additional measurement together with the Kalman filter tuning are described. The evaluation of the proposed control concept is based on the experimentally measured data on the machine tool axis with significant flexibility.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 3; 5-16
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cascade tanks system identification for robust predictive control
    Autorzy:
    Jakowluk, Wiktor
    Jaszczak, Sławomir
    Powiązania:
    https://bibliotekanauki.pl/articles/2173722.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application-oriented input design
    Kalman filter
    model predictive control
    MPC
    system identification
    projektowanie wejścia zorientowanego na aplikację
    filtr Kalmana
    sterowanie predykcyjne modelu
    identyfikacja systemu
    Opis:
    The main goal of estimating models for industrial applications is to guarantee the cheapest system identification. The requirements for the identification experiment should not be allowed to affect product quality under normal operating conditions. This paper deals with ensuring the required liquid levels of the cascade system tanks using the model predictive control (MPC) method. The MPC strategy was extended with the Kalman filter (KF) to predict the system’s succeeding states subject to a reference trajectory in the presence of both process and measurement noise covariances. The main contribution is to use the application-oriented input design to update the parameters of the model during system degradation. This framework delivers the least-costly identification experiment and guarantees high performance of the system with the updated model. The methods presented are evaluated both in the experiments on a real process and in the computer simulations. The results of the robust MPC application for cascade system water levels control are discussed.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143646
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    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
    Tytuł:
    Predykcyjne bezczujnikowe sterowanie silnikiem bezszczotkowym BLDC
    Predictive control for sensorless brushless BLDC motor
    Autorzy:
    Zajkowski, K.
    Duer, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/312596.pdf
    Data publikacji:
    2013
    Wydawca:
    Instytut Naukowo-Wydawniczy "SPATIUM"
    Tematy:
    silnik bezszczotkowy
    filtracja Kalmana
    model matematyczny silnika
    BLDC motor
    Kalman filter
    mathematical model of the motor
    Opis:
    W artykule omówiono metodę sterowania bezczujnikowego silnikiem bezszczotkowym. Przedstawiono ideę sterowania przy wykorzystaniu modelu matematycznego silnika i filtru Kalmana.
    This paper discusses a method control for sensorless brushless motor. The paper presents the idea of using a mathematical model and the Kalman filter on control BLDC motor.
    Źródło:
    Autobusy : technika, eksploatacja, systemy transportowe; 2013, 14, 10; 307-310
    1509-5878
    2450-7725
    Pojawia się w:
    Autobusy : technika, eksploatacja, systemy transportowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimal operation of a process by integrating dynamic economic optimization and model predictive control formulated with empirical model
    Autorzy:
    Tuan, T. T.
    Tufa, L. D.
    Matalib, M. I. A.
    Ramli, N. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/949805.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    integrate economic optimization and MPC
    Kalman filter
    Matlab-Hysys Interface
    integrate RTO-MPC
    depropanizer
    Opis:
    In advanced control, a control target tracks the set points and tends to achieve optimal operation of a process. Model predictive control (MPC) is used to track the set points. When the set points correspond to an optimum economic trajectory that is sent from an economic layer, the process will be gradually reaching the optimal operation. This study proposes the integration of an economic layer and MPC layer to solve the problem of different time scale and unreachable set points. Both layers require dynamic models that are subject to objective functions. The prediction output of a model is not always asymptotically equal to the measured output of a process. Therefore, Kalman filter is proposed as a state feedback to the two-layer integration. The proposed controller only considers the linear empirical model and the inherent model is identified by system identification, which is assumed to be an ample representation of the process. A depropanizer process case study has been used for demonstration of the proposed technique. The result shows that the proposed controller tends to improve the profit of the process smoothly and continuously, until the process reaches an asymptotically maximum profit point.
    Źródło:
    Archives of Control Sciences; 2018, 28, 1; 35-50
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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