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


Wyświetlanie 1-3 z 3
Tytuł:
Application of the simple additive modeling of the first principle model inaccuracies for the offset–free process control
Autorzy:
Czeczot, J.
Łaszczyk, P
Powiązania:
https://bibliotekanauki.pl/articles/205682.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
first principle process modeling
modeling inaccuracies compensation
model-based control
adaptive control
Opis:
In this paper, the method for simple additive modeling of the first principle model inaccuracies for the offset-free process control is presented. Starting from transformation of the general nonlinear state model into the input affine dynamical equation describing directly the controlled variable, it is shown how to compensate for the potential modeling inaccuracies by lumping them into a single additive parameter. Its on-line estimation procedure based only on the measurement data collected from the process is very simple and effective and the estimate converges without any additional excitation of the process. The discussion on how to apply the suggested model as a basis for the chosen model-based control techniques is presented, and for the processes of the higher relative order, the practical simplification of this approach is shown. The experimental results show the practical applicability of the considered approach for the synthesis of the open loop InternalModel Controller (IMC) and of the Balance-Based Adaptive Controller (B-BAC).
Źródło:
Control and Cybernetics; 2014, 43, 2; 261-277
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On possibilities of the practical implementation of balance-based adaptive control methodology
Autorzy:
Czeczot, J.
Powiązania:
https://bibliotekanauki.pl/articles/1839191.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
model-based adaptive control
practical implementation
bumpless switching
virtual controllers
programmable logic controller (PLC)
recursive least-squares estimation
Opis:
This paper deals with two approaches to the practical implementation of the Balance-Based Adaptive Controller(B-BAC): the low-level PLC-based approach of the explicit form of the B-BAC and the high-level PC-based one in the form of the general "virtual controller". In both cases, we discuss the details of meeting the general requirements of a particular practical implementation. We also consider the implementation aspects that are independent of the implementation, such as development of the front panel, saturation of a manipulated variable, on-line measurement and data acquisition, implementation of the on-line estimation procedure, bumpless switching between the automatic and manual mode, etc. Additionally, we present how to derive both the general form and the final explicit form of the B-BAC on the example of a biotechnological process and how to apply these forms in the particular practical implementation.
Źródło:
Control and Cybernetics; 2007, 36, 4; 967-984
0324-8569
Pojawia się w:
Control and Cybernetics
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
    Wyświetlanie 1-3 z 3

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