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Wyszukujesz frazę "model based control" wg kryterium: Temat


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

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