Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "model-based control" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-6 z 6
    Tytuł:
    EHMAC - a New Simple Tool for Robust Linear Multivariable Control
    Autorzy:
    Latawiec, K. J.
    Rojek, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/911218.pdf
    Data publikacji:
    2000
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie wewnętrzne
    sterowanie predykcyjne
    sterowanie wielowymiarowe
    internal model control
    model-based predictive control
    multivariable control
    orthonormal basis functions
    robust control
    Opis:
    A combination of long range predictive control-originated EHPC and internal model control-structured MAC is shown to produce a new, simple but effective Extended Horizon Model Algorithmic Control (EHMAC). The EHMAC strategy can be used to robustly control open-loop stable non-minimum phase (possibly non-square) MIMO systems under very large model-plant mismatches. Robust EHMAC design is made straightforward by means of a separate selection of a single prediction horizon and an IMC filter parameter, which can be easily auto-tuned.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2000, 10, 3; 575-590
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive Predictive Controller Using Orthonormal Series Functions
    Autorzy:
    Oliveira, G. H. C.
    Amaral, W. C.
    Favier, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/908308.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    adaptacyjny układ sterowania
    niepewność
    model-based predictive control
    adaptive control
    uncertain process
    orthonormal series functions
    Opis:
    A constrained adaptive predictive control method that uses uncertain process modelling based on orthonormal series functions is considered. Such unstructured modelling is described as a weighted sum of orthonormal functions using approximate information about the time constant of the process. The orthonormal series functions model can thus be used to derive a j-step-ahead output prediction according to the constrained adaptive predictive control law. In relation to predictive controllers based on structured models, this approach presents the advantage of not requiring prior knowledge of the order or time delay, which decrease prediction errors and lead to a better closed loop performance when these parameters are not well known. Stability issues of the proposed control scheme are discussed and, finally, a simulation example is given to show the performance of the algorithm.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 175-191
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust quasi-LPV model reference FTC of a quadrotor UAV subject to actuator faults
    Autorzy:
    Rotondo, D.
    Nejjari, F.
    Puig, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/331147.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    linear parameter varying systems
    fault tolerant control
    quadrotor
    model reference based control
    linear matrix inequalities
    układ liniowy niestacjonarny
    sterowanie tolerujące uszkodzenia
    liniowe nierówności macierzowe
    Opis:
    A solution for fault tolerant control (FTC) of a quadrotor unmanned aerial vehicle (UAV) is proposed. It relies on model reference-based control, where a reference model generates the desired trajectory. Depending on the type of reference model used for generating the reference trajectory, and on the assumptions about the availability and uncertainty of fault estimation, different error models are obtained. These error models are suitable for passive FTC, active FTC and hybrid FTC, the latter being able to merge the benefits of active and passive FTC while reducing their respective drawbacks. The controller is generated using results from the robust linear parameter varying (LPV) polytopic framework, where the vector of varying parameters is used to schedule between uncertain linear time invariant (LTI) systems. The design procedure relies on solving a set of linear matrix inequalities (LMIs) in order to achieve regional pole placement and H∞ norm bounding constraints. Simulation results are used to compare the different FTC strategies.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 7-22
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural Network Evaluation of Model-Based Residuals in Fault Detection of Time Delay Systems
    Autorzy:
    Zitek, P.
    Mankova, R.
    Hlava, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/908288.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    wykrywanie błędu
    model anizochroniczny
    obserwator stanów
    sterowanie wewnętrzne
    sieć neuronowa
    model-based fault detection
    anisochronic model
    state observer
    internal model control
    artificial neural networks
    Opis:
    Model-based fault detection becomes rather questionable if a supervised plant belongs to the class of systems with distributed parameters and significant delays. Two methods of fault detection have been developed for this class of plants, namely a method of functional (anisochronic) state observer and a modified internal model control scheme adopted for that purpose. Both these model schemes are employed to generate residuals, i.e. differences suitable to watch whether a malfunction of the control operation has occurred. Continuous evaluation of residuals is provided by means of a dynamic application of artificial neural networks (ANNs). This evaluation is carried out on the basis of prediction of time series evolution, where the accordance obtained between the prediction and measured outputs is used as a classification criterion. Implementation of both the methods is demonstrated on a laboratory-scale heat transfer set-up, making use of the Real-Time Matlab software.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 599-617
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An SFDI observer-based scheme for a general aviation aircraft
    Autorzy:
    Ariola, M.
    Mattei, M.
    Notaro, I.
    Corraro, F.
    Sollazzo, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/330264.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model based FDI
    sensor FDI
    extended Kalman filtering
    analytical redundancy
    flight control
    filtracja Kalmana
    redundancja analityczna
    sterowanie lotem
    Opis:
    The problem of detecting and isolating sensor faults (sensor fault detection and isolation—SFDI) on a general aviation aircraft, in the presence of external disturbances, is considered. The proposed approach consists of an extended Kalman observer applied to an augmented aircraft plant, where some integrators are added to the output variables subject to faults. The output of the integrators should be ideally zero in the absence of model uncertainties, external disturbances and sensor faults. A threshold-based decision making system is adopted where the residuals are weighted with gains coming from the solution to an optimization problem. The proposed nonlinear observer was tested both numerically on a large database of simulations in the presence of disturbances and model uncertainties and on input-output data recorded during real flights. In this case, the possibility of successfully applying the proposed technique to detect and isolate faults on inertial and air data sensors, modelled as step or ramp signals artificially added to the real measurements, is shown.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 149-158
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reliability-based economic model predictive control for generalised flow-based networks including actuators’ health-aware capabilities
    Autorzy:
    Grosso, J. M.
    Ocampo-Martinez, C.
    Puig, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/330080.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model predictive control
    flow based network
    dynamic safety stocks
    actuator health
    service reliability
    chance constraints
    economic optimisation
    sterowanie predykcyjne
    niezawodność serwisu
    optymalizacja ekonomiczna
    Opis:
    This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators’ availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 3; 641-654
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies