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Wyszukujesz frazę "constrained optimization" wg kryterium: Temat


Wyświetlanie 1-6 z 6
Tytuł:
Application of adaptive multivariable Generalized Predictive Control to a HVAC system in real time
Autorzy:
Gulan, M.
Salaj, M.
Rohal’-Ilkiv, B
Powiązania:
https://bibliotekanauki.pl/articles/229355.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive control
multivariable systems
constrained optimization
HVAC system
cascade control
Opis:
This paper presents the application of a Multivariable Generalized Predictive Controller (MGPC) for simultaneous temperature and humidity control in a Heating, Ventilating and Air- Conditioning (HVAC) system. The multivariable controlled process dynamics is modeled using a set of MISO models on-line identified from measured input-output process data. The controller synthesis is based on direct optimization of selected quadratic cost function with respect to amplitude and rate input constraints. Efficacy of the proposed adaptive MGPC algorithm is experimentally demonstrated on a laboratory-scale model of HVAC system. To control the airconditioning part of system the designed multivariable predictive controller is considered in a cascade dual-rate control scheme with PID auxiliary controllers.
Źródło:
Archives of Control Sciences; 2014, 24, 1; 67-84
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Constrained optimization of the brushless DC motor using the salp swarm algorithm
Autorzy:
Knypiński, Łukasz
Devarepalli, Ramesh
Le Menach, Yvonnick
Powiązania:
https://bibliotekanauki.pl/articles/2135734.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
brushless DC motor
constrained optimization
finite element analysis
salp swarm algorithm
Opis:
This paper presents an algorithm and optimization procedure for the optimization of the outer rotor structure of the brushless DC (BLDC) motor. The optimization software was developed in the Delphi Tiburón development environment. The optimization procedure is based on the salp swarm algorithm. The effectiveness of the developed optimization procedurewas compared with genetic algorithm and particle swarmoptimization algorithm. The mathematical model of the device includes the electromagnetic field equations taking into account the non-linearity of the ferromagnetic material, equations of external supply circuits and equations of mechanical motion. The external penalty function was introduced into the optimization algorithm to take into account the non-linear constraint function.
Źródło:
Archives of Electrical Engineering; 2022, 71, 3; 775--787
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maximizing performance of linear model predictive control of glycemia for T1DM subjects
Autorzy:
Dodek, Martin
Miklovicová, Eva
Powiązania:
https://bibliotekanauki.pl/articles/2134885.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
diabetes mellitus
artificial pancreas
glycemia control
predictive control
constrained optimization
control feasibility
Opis:
The primary objective of this paper is the custom design of an effective, yet relatively easy-to-implement, predictive control algorithm to maintain normoglycemia in patients with type 1 diabetes. The proposed patient-tailorable empirical model featuring the separated feedback dynamics to model the effect of insulin administration and carbohydrate intake was proven to be suitable for the synthesis of a high-performance predictive control algorithm for artificial pancreas. Within the introduced linear model predictive control law, the constraints were applied to the manipulated variable in order to reflect the technical limitations of insulin pumps and the typical nonnegative nature of the insulin administration. Similarly, inequalities constraints for the controlled variable were also assumed while anticipating suppression of hypoglycemia states during the automated insulin treatment. However, the problem of control infeasibility has emerged, especially if one uses too tight constraints of the manipulated and the controlled variable concurrently. To this end, exploiting the Farkas lemma, it was possible to formulate the helper linear programming problem based on the solution of which this infeasibility could be identified and the optimality of the control could be restored by adapting the constraints. This adaptation of constraints is asymmetrical, thus one can force to fully avoid hypoglycemia at the expense of mild hyperglycemia. Finally, a series of comprehensive in-silico experiments were carried out to validate the presented control algorithm and the proposed improvements. These simulations also addressed the control robustness in terms of the intersubject variability and the meal announcements uncertainty.
Źródło:
Archives of Control Sciences; 2022, 32, 2; 305--333
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A design framework for rigorous constrained EM-driven optimization of miniaturized antennas with circular polarization
Autorzy:
Bekasiewicz, Adrian
Koziel, Slawomir
Powiązania:
https://bibliotekanauki.pl/articles/220503.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
axial ratio
antenna miniaturization
circular polarization antenna
constrained optimization
EM-driven design
Opis:
Compact radiators with circular polarization are important components of modern mobile communication systems. Their design is a challenging process which requires maintaining simultaneous control over several performance figures but also the structure size. In this work, a novel design framework for multi-stage constrained miniaturization of antennas with circular polarization is presented. The method involves sequential optimization of the radiator in respect of selected performance figures and, eventually, the size. Optimizations are performed with iteratively increased number of design constraints. Numerical efficiency of the method is ensured using a fast local-search algorithm embedded in a trust-region framework. The proposed design framework is demonstrated using a compact planar radiator with circular polarization. The optimized antenna is characterized by a small size of 271 mm2 with 37% and 47% bandwidths in respect of 10 dB return loss and 3 dB axial ratio, respectively. The structure is benchmarked against the state-of-the-art circular polarization antennas. Numerical results are confirmed by measurements of the fabricated antenna prototype.
Źródło:
Metrology and Measurement Systems; 2019, 26, 1; 41-52
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-constrained topology optimization using constant criterion surface algorithm
Autorzy:
Mrzygłód, M.
Powiązania:
https://bibliotekanauki.pl/articles/201310.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-constrained topology optimization
stress and fatigue constraints
constant criterion surface algorithm
Opis:
This paper sets out to describe a multi-constrained approach to topology optimization of structures. In the optimization, a constant criterion surface algorithm and the multi-constraint procedure is used. The multi-constraint procedure consists of constraints normalization and equivalent design space assembling. The work is illustrated by an example of the L-shaped domain optimization with the horizontal line support and complex loads. The example takes into consideration stress, fatigue and compliance constraints. The separate and simultaneous application of constraints resulted in significant differences in structure topology layouts. The application of a fatigue constraint gave more conservative results when compared to static stress or compliance limitations. The multi-constrained approach allowed effectively lowering the mass of the structure while satisfying all constraints.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 2; 229-236
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization methods in modeling the mechanical properties of heavy steel plates
Metody optymalizacyjne w modelowaniu własności mechanicznych blach grubych
Autorzy:
Grzybowski, A. Z.
Powiązania:
https://bibliotekanauki.pl/articles/355794.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
heavy steel plate
mechanical properties
optimization
chance constrained programming
Opis:
The paper is devoted to an optimization approach to a problem of statistical modeling of mechanical properties of heavy steel plates during a real industrial manufacturing process. The approach enables the manufacturer to attain a specific set of the final product properties by optimizing the alloying composition within the grade specifications. Because this composition has to stay in the agreement with earlier indicated specifications, it leads to the large system of linear constraints, and the problem itself can be expressed in the form of linear programming (LP) task. It turns out however, that certain of the constraints contain the coefficients which have to be estimated on the base of the data gathered in the production process and as such they are uncertain. Consequently, the initial optimization task should be modeled as so-called Chance Constrained Programming problem (CCP), which is a special class within the stochastic programming problems. The paper presents mathematical models of the optimization problem that result from both approaches and indicates differences which are important for the decision makers in the production practice. Some examples illustrating the differences in solutions resulting from LP and CCP models are presented as well. Although the statistical analysis presented in this paper is based on the data gathered in the ISD Czestochowa Steelworks, the proposed approach can be adopted in any other process of steel production.
Praca poświęcona jest optymalizacyjnemu podejściu do modelowania wybranych własności mechanicznych blach grubych w trakcie rzeczywistego procesu produkcyjnego. Proponowane podejście umozliwia producentowi uzyskanie ustalonego zbioru własności blach stalowych z jednoczesna optymalizacja ich składu chemicznego w zakresie określonym poprzez normy definiujące dany gatunek. Poniewaz ów skład musi pozostawać w zgodzie z wczesniej wskazanymi w zamówieniu specyfikacjami prowadzi to do dużego układu liniowych ograniczeń, a sam problem można wyrazic w postaci zadania programowani liniowego. W praktyce okazuje się, że pewne z tych ograniczen zawierają współczynniki, które musza być oszacowane na podstawie danych zebranych w procesie produkcyjnym i jako takie ich wartości sa niepewne. W konsekwencji wyjściowy problem powinien zostać sformułowany jako zadanie programowania stochastycznego. Wpracy przedstawia sie modele optymalizacyjne wynikajace z obu podejsc i wskazuje na różnice wazne z punktu widzenia podejmowania decyzji w praktyce produkcyjnej. Prezentowane są równiez przykłady ilustrujace różnice w rozwiązaniach uzyskiwanych z pomoca tych dwóch modeli. Chociaż analiza statystyczna przedstawiona w pracy oparta jest na danych zebranych w ISD Huta Częstochowa, to proponowane podejście może być zaadaptowane w dowolnym innym procesie produkcji stali.
Źródło:
Archives of Metallurgy and Materials; 2012, 57, 4; 971-979
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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