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Wyświetlanie 1-15 z 63
Tytuł:
The HMI/SCADA in control systems and supervision processes of manufacturing transport
Autorzy:
Smoczek, S.
Sznytko, J.
Powiązania:
https://bibliotekanauki.pl/articles/243516.pdf
Data publikacji:
2008
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
works transport
crane
intelligent control
supervising
monitoring
Opis:
The aim of the paper is integrated control and supervisory systems of works transport process, which were realized using programming application type of HMI/SCADA (Human Machine Interface/Supervisory Control and Data Acquisition). The grater requirements put before automation and HMI/SCADA systems in range of controlling and supervising industrial processes cause that is more and more expected evolution of such system to integrate solutions and tools which allow realizing compound tasks connected with control, diagnostic, monitoring and managing. From supervisory systems are expected solutions, which enable to aid decision-making processes for making faster and adequate diagnosis of occurrences and failures, proper estimating technical states of devices, formulating conclusions about symptoms-failures relationships and preventive or removing actions. It needs to develop tools using intelligent methods and algorithms based on fuzzy logic, experts systems and artificial neural networks, which can be applied to realize inference systems to help decision-making processes, control and diagnostic tasks. Presented in the paper examples of HMI/SCADA systems consider realization of controlling and supervising tasks with the aid of fuzzy logic and heuristic algorithms. Supervisory system of works transport process shown in the paper was based on heuristic base of knowledge used to aid decision-making process of operator.
Źródło:
Journal of KONES; 2008, 15, 3; 499-507
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Safety and intelligent control system for plasmatron application
Autorzy:
Szałatkiewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/243581.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
safety
intelligent control
systems
automation
plasmatron
arc
control
plasma
Opis:
This article presents safety and intelligent control systems essential for safe and reliable operation of DC arc plasmatron. Presented methods and techniques are also applicable to other types of plasmatrons and devices. Author presents and describes subsystems of DC arc plasmatrons including its: start up and operation algorithms, detection of malfunction’s, control parameters and techniques for plasmatron operation. Moreover, issues and requirements identified in field operation are presented in case of plasmatron operation on site, communication and supervisory system for flexible integration of independent device in complex SCADA systems. Presented material covers also safety techniques, procedures and subsystems necessary for safe and reliable plasmatron operation, with examples of experience in plasmatrons applications. Presented in this article plasmatrons control and safety systems with theirs functions together with operation algorithms were applied and validated in constructed and operated plasmatrons. Plasmatrons were tested in different environments. For example in the plasmatron plasma reactor where three 20 kW plasmatrons were used and installed directly in high temperature refractory that consisted of plasma incineration and smelting of metals chamber.
Źródło:
Journal of KONES; 2017, 24, 2; 247-252
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Novel Fuzzy-Based Self-Adaptive Single Neuron PID Load Frequency Controller for Power System
Autorzy:
Eissa, M. Abdullah
Powiązania:
https://bibliotekanauki.pl/articles/1193688.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
power system
load frequency
Intelligent Control
PID
Single Neuron
Opis:
This paper proposes a newly adaptive single-neuron proportional integral derivative (SNPID) controller that uses fuzzy logic as an adaptive system. The main problem of the classical controller is lacking the required robustness against disturbers, measurement noise in industrial applications. The new formula of the proposed controller helps in fixing this problem based on the fuzzy logic technique. In addition, the genetic algorithm (GA) is used to optimize parameters of the SNPID controller. Because of the high demands on the availability and efficiency of electrical power production, the design of robust load-frequency controller is becoming increasingly important due to its potential in increasing the reliability, maintainability and safety of power systems. So, the proposed controller has been applied for load-frequency control (LFC) of a single-area power system. The effectiveness of the proposed SNPID controller has been compared with the conventional controllers. The simulation results show that the proposed controller approach provides better damping of oscillations with a smaller settling time. This confirms its superiority against its counterparts. In addition, the results show the robustness of the proposed controller against the parametric variation of the system.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 141-150
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent control of CO2-EOR process
Autorzy:
Mikołajczak, E.
Stopa, J.
Wojnarowski, P.
Janiga, D.
Czarnota, R.
Powiązania:
https://bibliotekanauki.pl/articles/298639.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CO2-EOR
production optimization
intelligent control
artificial intelligence
Opis:
One of the enhanced oil recovery methods, which enables to recover an additional 15–20% of oil resources is the CO2-EOR method based on carbon dioxide injection into partially depleted reservoirs. Determination of the optimal process control facilitates effective use of natural resources. The idea of this paper is to develop an algorithm that optimizes the CO2-EOR process. This algorithm is based on the combination of artificial intelligence, control theory and computer simulation of hydrocarbon reservoirs. The effect of the proposed solution is the CO2-EOR process control, which is optimal in the case of the adopted objective function expressing the economic value of the project. The obtained results suggest that the use of artificial intelligence methods in the hydrocarbon production allows to improve the process efficiency by an additional 31% compared to the project carried out with the use of engineering knowledge.
Źródło:
AGH Drilling, Oil, Gas; 2018, 35, 1; 235-243
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Interaction of real and embedded devices for intelligent control of city electric transport
Autorzy:
Potapovs, A.
Gorobetz, M.
Levchenkov, A.
Powiązania:
https://bibliotekanauki.pl/articles/393305.pdf
Data publikacji:
2010
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
transport elektryczny
system wbudowany
electric transport
embedded system
intelligent control
Opis:
The interaction of real and virtual devices is an important point in the design and development of control system. The central part of an embedded control system is a controller and it needs input devices and output sensors for realization of the control. The proposed approach allows using a real controller with its specific programming tools and languages for intelligent software development and virtual measurement and sensor devices realized in a computer environment. Different wireless compounds are necessary for intelligent embedded devices for transport system control. For this reason a wireless communication network is needed to ensure the data transmission between the controller and supervisory control and data acquisition system. The purpose of this paper is to propose an approach for interaction of real, embedded and virtual devices in electric transport control systems. The main tasks are: to analyze objects and functional dependencies of an electric transportation control system, to develop a control algorithm with the interaction of real and virtual devices, to ensure a wireless connection for the data transfer from the controller to the supervisory control and data acquisition system, to define the method of transmitted data processing. Computer and practical experiments, with real and embedded devices, and the results analysis will be described the paper.
Źródło:
Archives of Transport System Telematics; 2010, 3, 4; 37-41
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent electronic embedded systems for the protection of railway transport from accidents
Autorzy:
Potapovs, A.
Gorobetz, M.
Levchenkov, A.
Powiązania:
https://bibliotekanauki.pl/articles/393812.pdf
Data publikacji:
2011
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
system wbudowany
sterowanie inteligentne
transport kolejowy
embedded systems
intelligent control
Opis:
The paper considers an intelligent electronic embedded system for the protection of railway transport from accidents, its compatibility with the existing railway control system, principles of its components interoperation and control algorithms. The paper gives the definitions of the functions performed by the system considered and its mathematical description applied to the realization of the control algorithm. The process of the device prototype testing is described with the obtained results, advantages and further prospects
Źródło:
Archives of Transport System Telematics; 2011, 4, 3; 24-30
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Self-improving Q-learning based controller for a class of dynamical processes
Autorzy:
Musial, Jakub
Stebel, Krzysztof
Czeczot, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/1845515.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process control
Q-learning algorithm
reinforcement learning
intelligent control
on-line learning
Opis:
This paper presents how Q-learning algorithm can be applied as a general-purpose self-improving controller for use in industrial automation as a substitute for conventional PI controller implemented without proper tuning. Traditional Q-learning approach is redefined to better fit the applications in practical control loops, including new definition of the goal state by the closed loop reference trajectory and discretization of state space and accessible actions (manipulating variables). Properties of Q-learning algorithm are investigated in terms of practical applicability with a special emphasis on initializing of Q-matrix based only on preliminary PI tunings to ensure bumpless switching between existing controller and replacing Q-learning algorithm. A general approach for design of Q-matrix and learning policy is suggested and the concept is systematically validated by simulation in the application to control two examples of processes exhibiting first order dynamics and oscillatory second order dynamics. Results show that online learning using interaction with controlled process is possible and it ensures significant improvement in control performance compared to arbitrarily tuned PI controller.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 527-551
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Self-improving Q-learning based controller for a class of dynamical processes
Autorzy:
Musial, Jakub
Stebel, Krzysztof
Czeczot, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/1845530.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process control
Q-learning algorithm
reinforcement learning
intelligent control
on-line learning
Opis:
This paper presents how Q-learning algorithm can be applied as a general-purpose selfimproving controller for use in industrial automation as a substitute for conventional PI controller implemented without proper tuning. Traditional Q-learning approach is redefined to better fit the applications in practical control loops, including new definition of the goal state by the closed loop reference trajectory and discretization of state space and accessible actions (manipulating variables). Properties of Q-learning algorithm are investigated in terms of practical applicability with a special emphasis on initializing of Q-matrix based only on preliminary PI tunings to ensure bumpless switching between existing controller and replacing Q-learning algorithm. A general approach for design of Q-matrix and learning policy is suggested and the concept is systematically validated by simulation in the application to control two examples of processes exhibiting first order dynamics and oscillatory second order dynamics. Results show that online learning using interaction with controlled process is possible and it ensures significant improvement in control performance compared to arbitrarily tuned PI controller.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 527-551
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emotional learning based intelligent speed and position control applied to neurofuzzy model of switched reluctance motor
Autorzy:
Rouhani, H.
Sadeghzadeh, A.
Lucas, C.
Araabi, B. N.
Powiązania:
https://bibliotekanauki.pl/articles/969753.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
intelligent control
emotion based learning
neuro-fuzzy models
switched reluctance motor
Opis:
In this paper, rotor speed and position of a Switched Reluctance Motor (SRM) are controlled using an intelligent control algorithm. The controller is working based on a PID signal while its gain is permanently tuned by means of an Emotional Learning Algorithm to achieve a better control performance. Here, nonlinear characteristic of SRM is identified using an efficient training algorithm (LoLiMoT) for Locally Linear Neurofuzzy Model as an unspecified nonlinear plant model. Then, the Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to the obtained model. While the intelligent controller works based on a computational model of a limbic system in the mammalian brain, its contribution is to improve the performance of a classic controller like PID without much more control effort. The results demonstrate excellent improvements of control action in different working situations.
Źródło:
Control and Cybernetics; 2007, 36, 1; 75-95
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent control for HVAC devices in LCN system
Autorzy:
Horynski, M.
Styla, S.
Powiązania:
https://bibliotekanauki.pl/articles/792275.pdf
Data publikacji:
2013
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
intelligent control
intelligent electric system
automation system
HVAC system
intelligent building
LCN system
heating
ventilation
air conditioning
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2013, 13, 1
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent control system of railway transport at metallurgical plants
Intellektualnaja sistema upravlenija zheleznodorozhnym transportom metallurgicheskikh predprijatijj
Autorzy:
Turpak, S.
Powiązania:
https://bibliotekanauki.pl/articles/791804.pdf
Data publikacji:
2015
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
railway transport
control system
intelligent control
simulation model
transport network
transfer efficiency
metallurgical plant
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2015, 15, 3
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptive ship course-keeping system
Autorzy:
Borkowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/393701.pdf
Data publikacji:
2014
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
ship course keeping
intelligent control system
stabilizacja kursu statku
inteligentny system sterowania
Opis:
The article presents an original adaptive ship course-keeping system. The control algorithm is based on a knowledge base. Its integral part - a computer ship movement dynamical model - uses a set of signals obtained from the object’s input and output. In this way we avoid problems arising while designing classical control algorithms for a complex, non-linear ship model. Approximators utilizing base functions of the model are used for model adaptation. The presented methodology is general as it can also be applied in other ship control tasks or to other dynamic objects. The proposed intelligent course-keeping system has been verified by simulation.
Źródło:
Archives of Transport System Telematics; 2014, 7, 2; 19-23
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Inteligentne sterowanie ogrzewaniem podłogowym
Artificial intelligent approach for floor heating control
Autorzy:
Walczak, T.
Powiązania:
https://bibliotekanauki.pl/articles/362941.pdf
Data publikacji:
2010
Wydawca:
Instytut Fizyki Budowli Katarzyna i Piotr Klemm
Tematy:
sztuczna inteligencja
inteligentne sterowanie
symulacja budynku
artificial intelligence
intelligent control
building simulation
Opis:
W pracy przedstawiono wyniki eksperymentów numerycznych związanych z aktywnym wykorzystaniem masy termicznej budynku jako magazynu energii cieplnej, pochodzącej z tańszej taryfy nocnej. Element grzejny umieszczono w masywnej podłodze a do jego sterowania wykorzystano zaawansowane techniki sztucznej inteligencji. Uzyskano kilkuprocentowe obniżenie kosztów ogrzewania w stosunku do obecnie stosowanych systemów sterowania.
The results of the investigation of energy performance of massive building envelope with a heating element placed in the massive floor has been shown in the paper. The proposed control approach of floor heating system is based on the advanced artificial intelligent methods. The results show that the floor heating system has good thermal storage performance, which can be used to a night-running model to obtain energy-saving benefits efficient and economic running cost. Investigated algorithm shows a few percent potential to decrease energy cost, in comparison to typical used control systems.
Źródło:
Fizyka Budowli w Teorii i Praktyce; 2010, T. 5, nr 2, 2; 51-54
1734-4891
Pojawia się w:
Fizyka Budowli w Teorii i Praktyce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Collaborative intelligence - definition and measured impacts on internetworked e-work
Autorzy:
Zhong, H.
Levalle, R. R.
Moghaddam, M.
Nof, S. Y.
Powiązania:
https://bibliotekanauki.pl/articles/406926.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
collaboration lifecycle management
computer-supported collaborative work
enterprise collaboration
intelligent control
resilience
collaborative control theory
Opis:
Internetworked e-Work is enabling new channels in cyber space for collaboration among physical and cyber agents, e.g., humans, robots, software agents. Research on Collaborative Control Theory (CCT) indicates that building and augmenting the Collaborative Intelligence (CI) of participants in cyber-physical networks can provide better support for achieving their individual and common goals. In spite of its rising significance and popularity, however, no clear and precise definition and universal quantitative measure has been proposed for the CI. In this article, we first formalize the CI by suggesting a formal definition, based on the definitions of its elements - collaboration and intelligence. We then propose a quantitative measure for the CI, adapted from the universal intelligence measure. For illustration, we analyze three recent collaborative e-Work studies at three different scales: (1) Telerobotenabled computer supported collaborative design; (2) Collaborative product line control in supply networks; (3) Demand and capacity sharing in multi-enterprise collaboration. From these case studies, common advantages such as work efficiency, network robustness and stability, service level, resource utilization, and collaboration cost are observed, analyzed, and translated into formal CI measures. Results indicate significant impacts of CI on the efficiency, effectiveness, and quality of collaborative activities in emerging e-Work networks.
Źródło:
Management and Production Engineering Review; 2015, 6, 1; 67-78
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent enterprise capital control based on Markov chain
Autorzy:
Andriushchenko, Kateryna
Liezina, Anastasiia
Lavruk, Vitalii
Sliusareva, Liudmyla
Rudevska, Viktoriia
Powiązania:
https://bibliotekanauki.pl/articles/2175198.pdf
Data publikacji:
2022
Wydawca:
Centrum Badań i Innowacji Pro-Akademia
Tematy:
Markov chain
intelligent control
stochastic modeling
investments
łańcuch Markowa
inteligentne sterowanie
modelowanie stochastyczne
inwestycje
Opis:
This scientific work is devoted to the processes of creating technologies, as well as the use of their mathematical representation in the form of models in the context of the formation and development of the intellectual capital of an enterprise. To select a goal, a vision was formed to prove or refute any possibility of using Markov's theory in practice, namely the creation of a stochastic model of the intellectual capital of an enterprise in monetary terms, which manifests itself in investments in intangible assets. As an initial model hypothesis, the statement is accepted that investments in the enterprise's intangible assets are a factor in the transformation of intellectual capital into the company's value. Based on the results of applying the stochastic Markov chain model, the potential profit of the company's intangible assets was estimated, the main elements of which were intellectual capital assets during the study. A matrix of transition probabilities has been formed and modeling of the limiting probabilities of the system states has been implemented. The necessary conditions and boundaries of the scope of the mathematical model are also determined. The mathematical method of modeling the company's intellectual capital proposed in the article allows determining the contribution of each of the structural components to the formation of the value of the enterprises intellectual capital, thereby making it possible to establish a current balance between all its elements, which contributes to a comprehensive study of the company's intellectual assets.
Źródło:
Acta Innovations; 2022, 45; 18--30
2300-5599
Pojawia się w:
Acta Innovations
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 63

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