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Wyświetlanie 1-15 z 162
Tytuł:
Nonsmooth optimization control based on a sandwich model with hysteresis for piezo-positioning systems
Autorzy:
Yang, Sen
Tan, Yonghong
Dong, Ruili
Tan, Qingyuan
Powiązania:
https://bibliotekanauki.pl/articles/24200686.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
optimization control
hysteresis
piezoelectric actuator
sandwich system
histereza
siłownik piezoelektryczny
układ warstwowy
Opis:
A nonsmooth optimization control (NOC) based on a sandwich model with hysteresis is proposed to control a micropositioning system (MPS) with a piezoelectric actuator (PEA). In this control scheme, the hysteresis phenomenon inherent in the PEA is described by a Duhem submodel embedded between two linear dynamic submodels that describe the behavior of the drive amplifier and the flexible hinge with load, respectively, thus constituting a sandwich model with hysteresis. Based on this model, a nonsmooth predictor for sandwich systems with hysteresis is constructed. To avoid the complicated online search for the optimal value of the generalized gradient at a nonsmooth point, the method of the so-called weighted estimation of generalized gradient is proposed. In order to compensate for the model error caused by model uncertainty, a model error compensator (MEC) is integrated into the online optimization control strategy. Afterwards, the stability of the control system is analyzed based on Lyapunov’s theory. Finally, the proposed NOC-MEC method is verified on an MPS with a PEA, and the corresponding experimental results are presented.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 3; 449--461
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative Simulation of the Production Flow with the Implementation of Kanban and DBR
Autorzy:
Tomaszewska, Klaudia
Powiązania:
https://bibliotekanauki.pl/articles/24200493.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
modeling
control optimization
real-time control
process control
lean manufacturing
theory of constraints
Opis:
Currently, we live in a culture of being overly busy, but this does not translate into efficiency, speed of implementation of the actions taken. Enterprises are constantly looking for methods and tools to make them more efficient. The most popular method of production management is Lean Manufacturing, less known is Theory of Constraints. This work is a continuation of the research on the comparison of these methods with apply a computer simulation, which the analyzed production process in the selected enterprise, after 24 hours and week. An attempt was made to simplify the comparison of the methods based on the obtained simulation in terms of costs. In analyzed case, more advantageous solution is to use the DBR method. To produce various orders that do not require 100% production on the bottleneck position, the use of Kanban is a frequent practice as it provides greater flexibility in order execution.
Źródło:
Management and Production Engineering Review; 2023, 14, 2; 79--87
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tuning and digital implementation of a fractional-order PD controller for a position servo
Autorzy:
Tepljakov, A.
Petlenkov, E.
Belikov, J.
Astapov, S
Powiązania:
https://bibliotekanauki.pl/articles/397895.pdf
Data publikacji:
2013
Wydawca:
Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:
fractional calculus
position servo
PID controller
digital control
control optimization
rachunek ułamkowy
pozycja serwo
regulator PID
sterowanie cyfrowe
optymalizacja sterowania
Opis:
Fractional-order calculus offers flexible computational possibilities that can be applied to control design thereby improving industrial control loop performance. However, before theoretical results can be carried over to an industrial setting it is important to study the effects of fractional-order control by means of laboratory experiments. In this paper, we study the practical aspects of tuning and implementing a fractional-order PD controller for position control of a laboratory modular servo system using FOMCON (“Fractional-order Modeling and Control”) toolbox for MATLAB. We provide an overview of the tools used to model, analyze, and design the control system. The procedure of tuning and implementation of a suitable digital fractional-order controller is described. The results of the real-time experiments confirm the effectiveness of used methods.
Źródło:
International Journal of Microelectronics and Computer Science; 2013, 4, 3; 116-123
2080-8755
2353-9607
Pojawia się w:
International Journal of Microelectronics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decide : agents controlling a BHS of an airport hub
Autorzy:
Hallenborg, K.
Risager, C.
Powiązania:
https://bibliotekanauki.pl/articles/384437.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
control
optimization
aircraft transportation
Opis:
It is an ingrown fsar to most travelers, frequent or not, to lose their baggage while flying from one destination to another, but if you take a look behind the scene you will experience a system with a complexity unlike most others. The baggage handling system (BHS) of an airport is just one link in a Song chain of processes your bag is going through. The BHS stretches from check-in or unloading of a plane on to the BHS (connecting flights), to it is collected at the gate and transferred to your flight. The conventional control software use a strategy primarily based on a shortest path algorithm, not taking into account dynamical changes or utilizing less packed areas of the system to increase capacity. We changed that perspective towards a ecentralized multi-agent based solution by developing strongty collaborating agents, to replace the original control software. The hierarchy of agents horizontally spans the system through local agents capable of altering the flow of totes, and vertica!ly through mediator agents, which have a global perspective andsupport decisions ofthe locoi autonomous agents. The local agents monitors their own local neighborhood for rising queues and other delaying factors, which aggregate to a status of the node, influencing the decision, of other agents trying to loute totes through this node. Interactions are handled as a combination of contract-nets, queries, and subscriber interaction schemes, which generalized the agent interfaces from the specific application. An agent-based approach not only improves robustness of the system, and utilize the entire BHS in n more convenient and dynamical way, it also include strategies for maximizing capacify of the system, which follows a work in-progress against capadty curve (WIPAC). In this paper we present the agent-based design of the control-software, and elaborate on the mutual colloboration compliant with the FIPA interaction schemes. We present ontologies used for sharing information and services among the agents as well as the results of our work for a major airport hub in Asia, and compare it against the traditional centralized strategies. We complete the paper by drawing same condusions and present ideas for future work.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 2; 50-54
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid optimization process applied to tuning of Dynamic Matrix Control: atudy case with DC motor
Autorzy:
Carvalho, D. F. de
Ganzaroli, C. A.
Couto, L. do
Dias, R. N. H. M.
Calixto, W. P.
Powiązania:
https://bibliotekanauki.pl/articles/136171.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
predictive control
deterministic optimization
heuristic optimization
hybrid optimization
DC motor
Opis:
This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters (prediction horizon, control horizon and damping rate of reference) are obtained through optimization methods employing heuristic, deterministic and hybrid strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. These methods were applied on a simulation model in order to verify which one provides better control results.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 2; 24-30
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolution of structure for direct control optimization
Autorzy:
Szymkat, Maciej
Korytowski, Adam
Powiązania:
https://bibliotekanauki.pl/articles/729426.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
optimal control
direct optimization methods
Opis:
The paper presents the Monotone Structural Evolution, a direct computational method of optimal control. Its distinctive feature is that the decision space undergoes gradual evolution in the course of optimization, with changing the control parameterization and the number of decision variables. These structural changes are based on an analysis of discrepancy between the current approximation of an optimal solution and the Maximum Principle conditions. Two particular implementations, with spike and flat generations are described in detail and illustrated with computational examples.
Źródło:
Discussiones Mathematicae, Differential Inclusions, Control and Optimization; 2007, 27, 1; 165-193
1509-9407
Pojawia się w:
Discussiones Mathematicae, Differential Inclusions, Control and Optimization
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gradient-Based Algorithms in the Brachistochrone Problem Having a Black-Box Represented Mathematical Model
Autorzy:
Dębski, R.
Powiązania:
https://bibliotekanauki.pl/articles/308956.pdf
Data publikacji:
2014
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
black-box optimization
brachistochrone problem
optimal control
trajectory optimization
Opis:
Trajectory optimization problems with black-box represented objective functions are often solved with the use of some meta-heuristic algorithms. The aim of this paper is to show that gradient-based algorithms, when applied correctly, can be effective for such problems as well. One of the key aspects of successful application is choosing, in the search space, a basis appropriate for the problem. In an experiment to demonstrate this, three simple adaptations of gradient-based algorithms were executed in the forty-dimensional search space to solve the brachistochrone problem having a blackbox represented mathematical model. This experiment was repeated for two different bases spanning the search space. The best of the algorithms, despite its very basic implementation, needed only about 100 iterations to find very accurate solutions. 100 iterations means about 2000 objective functional evaluations (simulations). This corresponds to about 20 iterations of a typical evolutionary algorithm, e.g. ES(μ,l ).
Źródło:
Journal of Telecommunications and Information Technology; 2014, 1; 32-40
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State of the Art in Predictive Control of Wheeled Mobile Robots
Autorzy:
Harasim, P.
Trojnacki, M.
Powiązania:
https://bibliotekanauki.pl/articles/384731.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
wheeled mobile robot
motion control
predictive control
model-based control
optimization
Opis:
The paper is concerned with the problem of tracking control of wheeled mobile robots (WMRs) using predictive control systems. Various kinematic structures of WMRs important from the point of view of motion control are discussed. A hierarchical approach to the problem of motion control of this kind of robots is presented. The problems of trajectory tracking and path following control of WMRs are briefly discussed. The methods of predictive control of WMRs are described in detail and the following aspects relevant to predictive control are considered: kinematic structures of robots, slip of wheels and its compensation, assumed constraints, methods of optimization of the objective function, problems of model nonlinearity, linearization and discretization, stability of the control system and use of the state observers.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 1; 34-42
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control System Design: Think Broad and Be Inquisitive
Projektowanie systemu sterowania: myśl nieszablonowo i bądź dociekliwy
Autorzy:
Malinowski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/275203.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
control system
optimization
system sterowania
optymalizacja
Opis:
In this paper two examples, of a different nature, are presented to demonstrate, basing upon the author’s experience from the past, that the control engineer facing a design problem must think in broad terms, be careful when design supporting tools are used and do not neglect theory related to the considered design problem.
W niniejszym artykule przedstawiono dwa przykłady o różnym charakterze, dla wykazania, w oparciu o doświadczenie autora, że inżynier systemów sterowania napotykający problem projektowy musi myśleć nieszablonowo, stosować roztropnie narzędzia wspomagające projektowanie i nie może zaniedbywać teorii związanej z rozważanym problemem projektowym.
Źródło:
Pomiary Automatyka Robotyka; 2020, 24, 2; 5-10
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Discriminant Analysis and Optimization Applied to Vibration Signals for the Quality Control of Rotary Compressors in the Production Line
Autorzy:
Reis, Déborah
Vanzo, Fernanda
Reis, Jorge
Duarte, Marcus
Powiązania:
https://bibliotekanauki.pl/articles/176740.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
discriminant analysis
noise
optimization
quality control
Opis:
In this paper, the applications of the multivariate data analysis and optimization on vibration signals from compressors have been tested on the assembly line to identify nonconforming products. The multivariate analysis has wide applicability in the optimization of weather forecasting, agricultural experiments, or, as in this case study, in quality control. The techniques of discriminant analysis and linear program were used to solve the problem. The acceleration and velocity signals used in this work were measured in twenty-five rotating compressors, of which eleven were classified as good baseline compressors and fourteen with manufacturing defects by the specialists in the final acoustic test of the production line. The results obtained with the discriminant analysis separated the conforming and nonconforming groups with a significance level of 0.01, which validated the proposed methodology.
Źródło:
Archives of Acoustics; 2019, 44, 1; 79-87
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of Optimal Noise Hazard Control Strategy With Budget Constraint
Autorzy:
Monazzam, M. R.
Fard, S. M. B.
Powiązania:
https://bibliotekanauki.pl/articles/90404.pdf
Data publikacji:
2011
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
noise control strategy
noise hazard
optimization
Źródło:
International Journal of Occupational Safety and Ergonomics; 2011, 17, 4; 463-464
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A direct approach to linear-quadratic stochastic control
Autorzy:
Duncan, T. E.
Pasik-Duncan, B.
Powiązania:
https://bibliotekanauki.pl/articles/255863.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
linear-quadratic Gaussian control
Riccati equation for optimization
stochastic control
Opis:
A direct approach is used to solve some linear-quadratic stochastic control problems for Brownian motion and other noise processes. This direct method does not require solving Hamilton-Jacobi-Bellman partial differential equations or backward stochastic differential equations with a stochastic maximum principle or the use of a dynamic programming principle. The appropriate Riccati equation is obtained as part of the optimization problem. The noise processes can be fairly general including the family of fractional Brownian motions.
Źródło:
Opuscula Mathematica; 2017, 37, 6; 821-827
1232-9274
2300-6919
Pojawia się w:
Opuscula Mathematica
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:
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:
Efficiency improvement of switched reluctance generator using optimization techniques
Autorzy:
Reis, M. R. C.
Araújo, W. R. H.
Calixto, W. P.
Powiązania:
https://bibliotekanauki.pl/articles/136169.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
switched reluctance generator
optimization
control
genetic algorithm
Opis:
This article introduces the switched reluctance machine operating as a generator. This kind of electrical machine delivers CC power at the output and the energy generated can be controlled through several variables. In this work, the switching angles of the machine's power converter are optimized using deterministic and heuristic techniques so that the output power is kept constant via PI controller while guaranteeing maximum value for machine performance, even for different excitation values and mechanical power on the shaft.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 1; 74-80
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 162

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