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Tytuł:
Fuzzy logic control system of the feeder for the stone crushing line
Autorzy:
Wiercioch, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/41204272.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:
fuzzy logic
fuzzy control
MATLAB Simulink
Opis:
This paper presents the control system in the stone crushing line and its model devel0ped using Matlab-Simulink software. The simulation was performed using a fuzzy controller, which includes fuzzification block., an inference block and a defuzzification block.
Źródło:
Studia i Materiały Informatyki Stosowanej; 2011, 5; 31-33
1689-6300
Pojawia się w:
Studia i Materiały Informatyki Stosowanej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid position control technique of induction motor drive
Autorzy:
Júnior, A. B. S.
Diniz, E. C. de
Honório, D. A.
Barreto, L. H. S. C.
Reis, L. L. N. dos
Powiązania:
https://bibliotekanauki.pl/articles/206685.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
vector control
predictive control
hybrid control
fuzzy logic
Opis:
This paper presents the study and implementation of a new vector control strategy using a hybrid control technique applied to the mechanical position loop aiming to obtain a system that acts in the fractional horsepower motor driver running at near zero frequency. For this purpose, some control techniques are employed to check which one has the best performance regarding this type of application. The use of three control techniques is considered: the Proportional-Integral-Derivative (PID) controller with fixed gain; the Generalized Predictive Control (GPC) controller; and a hybrid controller. The last one behaves as both PID and GPC using fuzzy logic in order to achieve improved system performance. Simulation and experimental results are shown and discussed to demonstrate the merits of the proposed approach.
Źródło:
Control and Cybernetics; 2013, 42, 4; 754-772
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dvelopment of a management systems model of automatic control by using fuzzy logic
Autorzy:
Kovalyshyn, O.
Gabriel, Yu.
Powiązania:
https://bibliotekanauki.pl/articles/410973.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
fuzzy logic
fuzzy controllers
diesel engine control
fuel feed control
Opis:
Performing control in complex technical systems frequently becomes complex task, especially at the absence of a deterministic model of the system func-tioning or in conditions of incomplete system information. Often control efficiency under these conditions is not satisfactory. The paper describes control quality improvement approach based on using of fuzzy logic mechanisms on the example of fuzzy-system for controlling diesel engine fuel feed.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 4; 87-90
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Computational optimization and implementation of control system for mechatronic treadmill with body weight support system
Autorzy:
Gembalczyk, G.
Duda, S.
Świtoński, E.
Powiązania:
https://bibliotekanauki.pl/articles/281400.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
gait reeducation
control system
optimization
fuzzy logic
Opis:
The purpose of this paper is to present a novel mechatronic system for gait re-education which consists of a body weight support system (BWS system) and a treadmill. This publication covers mainly issues related to the design and optimization process of a control algorithm dedicated for the unloading system. The proposed control system is based on a fuzzy logic controller coupled with a PID regulator. The optimization of parameters for regulators has been conducted based on numerical simulations in which a hybrid optimization method combining a genetic algorithm with a gradient algorithm has been used. The developed control system has been tested experimentally.
Źródło:
Journal of Theoretical and Applied Mechanics; 2018, 56, 4; 1179-1191
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy reactive control of wheeled mobile robot
Rozmyte sterowanie odruchowe mobilnego robota kołowego
Autorzy:
Hendzel, Z.
Powiązania:
https://bibliotekanauki.pl/articles/281987.pdf
Data publikacji:
2004
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
behaviour control
fuzzy logic
wheeled mobile robots
Opis:
This paper proposed a sensor based navigation method with a fuzzy combiner for navigation of a mobile robot in uncertain environments. We discuss a fuzzy approach to path design and control of simple individual behaviours of a wheeled mobile robot in an unknown 2D environment with static obstacles. A strategy of reactive navigation is developed including three main behaviours: reaching the middle of a collision-free space behaviour, goal-seeking behaviour and wall-following behaviour. These simple individual behaviours are achieved by means of fuzzy inference systems. It is assumed that each low-level behaviour has been well developed at the design stage and then fused by the fuzzy combiner of behaviours to determine proper actions acting on the environment at the running stage. The fuzzy combiner can fuse low-level behaviours so that the mobile robot can go for the goal position without colliding with obstacles. The fuzzy combiner is a soft switch that chooses more than one low-level action to be active with different degrees through fuzzy combination at each time step. The output of the navigation level is fed into a fuzzy tracking controller that takes into account the dynamics of the mobile robot. A computer simulation have been conducted to illustrate the performance of these proposed fuzzy combiner of behaviours by a series of experiments on an emulator of the wheeled mobile robot Pioneer-2DX.
W pracy analizuje się zagadnienie nawigacji odruchowej mobilnego robota kołowego w nieznanym otoczeniu. Przedstawiono rozmyte podejście do projektowania trajektorii ruchu i sterowania prostych indywidualnych zachowań mobilnego robota kołowego w nieznanym środowisku dwuwymiarowym ze statycznymi przeszkodami. Stategię odruchowej nawigacji zastosowano do realizacji trzech elementarnych zachowań: osiągnij środek wolnej przestrzeni, idź do celu, podążaj przy ścianie. Powyższe elementarne zachowania zrealizowano stosując układy z logiką rozmytą. Zakłada się że każde z elementarnych zachowań realizowane przez niższy poziom sterowania jest poprawnie zaprojektowane, a ich koordynacja odbywa się na wyższym poziomie hierarchii sterowania przez rozmyty układ koordynacyjny, którego zadaniem jest wygenerowanie właściwych sterowań umożliwiających realizację zadania nawigacji. Rozmyty układ koordynacji elementarnych zachowań łączy te zachowania generując zadaną trajektorię ruchu wybranego punktu mobilnego robota kołowego. Trajektoria ta jest realizowana przez układ niskiego poziomu sterowania ruchem nadążnym mobilnego robota kołowego uwzględniającym dynamikę obiektu sterowania. W celu weryfikacji zaproponowanego rozwiązania przeprowadzono symulacje komputerowe na emulatorze mobilnego robota Pionner-2DX.
Źródło:
Journal of Theoretical and Applied Mechanics; 2004, 42, 3; 503-517
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation and implementation of alternative attitude control algorithms for a micro multirotor flying platform
Autorzy:
Gąsior, P.
Gąsior, M.
Powiązania:
https://bibliotekanauki.pl/articles/114654.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
quadrotor
control
fuzzy logic
ANN
PID
NeuroQuad
Opis:
The most popular control algorithm in attitude stabilization of multirotor aerial vehicles is a PID controller. It is used so frequently because of low computational requirements and simplicity of implementation and tuning. However, there are many other control algorithms suitable for this task, for example fuzzy logic or neural networks controllers. These algorithms are more complex than PID, but with appropriate knowledge and hardware it is possible to implement them in the on-board controller. This paper presents the comparison of the mentioned algorithms during simulation experiments. The construction process of a micro multirotor flying platform NeuroQuad and the implementation of the tested algorithms on this platform are described.
Źródło:
Measurement Automation Monitoring; 2015, 61, 7; 346-348
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Chemical reaction algorithm for type-2 fuzzy control optimization in mobile robots
Autorzy:
de la O, D.
Castillo, O.
Soria, J.
Powiązania:
https://bibliotekanauki.pl/articles/384488.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Chemical Reaction Algorithm
control
fuzzy logic
robotics
Opis:
In this work the optimization process of the tracking and reactive controllers for a mobile robot are presented. The Chemical Reaction Algorithm (CRA) is used to find the optimal parameter values of the membership functions and rules for the reactive and tracking controllers. In this case, we are using five membership functions in each variable of the fuzzy controllers. The main goal of the reactive controller is aimed at providing the robot with the ability to avoid obstacles in its environment. The tests are performed on a benchmark maze problem, in which the goal is not necessarily to leave the maze, but rather that the robot avoids obstacles, in this case the walls, and penalizing for unwanted trajectories, such as cycles. The tracking controller’s goal is for the robot to keep into to a certain path, this in order that the robot can learn to react to unknown environments. The optimization algorithm that was used is based on an abstraction of chemical reactions. To perform the simulation we use the “SimRobot” toolbox, the results of the tests are presented in a detailed fashion, and at the end we are presenting a comparison of results among the CRA, PSO and GA methods.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 3; 10-19
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information technology for comprehensive monitoring and control of the microclimate in industrial greenhouses based on fuzzy logic
Autorzy:
Laktionov, Ivan
Vovna, Oleksandr
Kabanets, Maryna
Powiązania:
https://bibliotekanauki.pl/articles/2201317.pdf
Data publikacji:
2023
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
monitoring
control
information technology
greenhouse
fuzzy logic
Opis:
Nowadays, applied computer-oriented and information digitalization technologies are developing very dynamically and are widely used in various industries. One of the highest priority sectors of the economy of Ukraine and other countries around the world, the needs of which require intensive implementation of high-performance information technologies, is agriculture. The purpose of the article is to synthesise scientific and practical provisions to improve the information technology of the comprehensive monitoring and control of microclimate in industrial greenhouses. The object of research is nonstationary processes of aggregation and transformation of measurement data on soil and climatic conditions of the greenhouse microclimate. The subject of research is methods and models of computer-oriented analysis of measurement data on the soil and climatic state of the greenhouse microclimate. The main scientific and practical effect of the article is the development of the theory of intelligent information technologies for monitoring and control of greenhouse microclimate through the development of methods and models of distributed aggregation and intellectualised transformation of measurement data based on fuzzy logic.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 1; 19--35
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A fuzzy cognitive situation awareness for airport security
Autorzy:
Furno, D.
Loia, V.
Veniero, M.
Powiązania:
https://bibliotekanauki.pl/articles/970200.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
fuzzy logic
fuzzy control
situation awareness
agent systems
airport security
semantic modeling
Opis:
Situation awareness is a crucial factor in decision-making. It involves monitoring and identification of relationships among the state changing objects in collaborative dynamic environments. In the domain of airport security a critical need is to support security operators in real-time management of risky airside scenarios. This work relies on a fuzzy cognitive ontology-based approach to model situation awareness and introduces an agent-based distributed evaluation architecture to address the problem. Specifically, in order to model situation awareness this work instantiates and integrates two assessed ontological meta-models, Situation Theory Ontology (STO) and Saw Core Ontology (SAW), extended to cope with uncertainty when modeling relations among objects occurring in the addressed dynamic environment. Many task-oriented soft computing agents are in charge of monitoring the modeled situations while distributing the information evaluation process leads to achieving better real-time like performance.
Źródło:
Control and Cybernetics; 2010, 39, 4; 960-982
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Linear Speed Control for Multi-Machine system Using Fuzzy-Sliding Mode
Autorzy:
Bouchiba, B.
Hazzab, A.
Glaoui, H.
Med-Karim, F.
Bousserhane, I. K.
Sicard, P.
Powiązania:
https://bibliotekanauki.pl/articles/384749.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
multi-motors system
fuzzy logic
sliding mode control
MIMO
Opis:
In this contribution, a control scheme based on multi input multi output Fuzzy Sliding Mode control (MIMOFSMC) for linear speed regulation of multi-motors system is proposed. Once the decoupled model of the multi- motors system is obtained, a smooth control function with a threshold was chosen to indicate how far the state from to the sliding surface is. However, the magnitude of this control function depends closely on the upper bound of uncertainties, and this generates chattering. So, this magnitude has to be chosen with great care to obtain high performances. Usually the upper bound of uncertainties is difficult to known before motor operation, so, a Fuzzy Sliding Mode controller is investigated to solve this difficulty; a simple Fuzzy inference mechanism is used to reduce the chattering phenomenon by simple adjustments. A simulation study is carried out and shows that the proposed controller has great potential for use as an alternative to the conventional sliding mode contro.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 1; 3-7
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Intelligent Control Methods for the Ore Jigging Process
Autorzy:
Kulakova, Yelena
Wójcik, Waldemar
Suleimenov, Batyrbek
Smolarz, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/1844513.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural network
ore jiggling
control algorithm
fuzzy logic
correlation
Opis:
Efficient control of the process of jigging ore of small and fine grain allows avoiding the loss of valuable material in production residual. Due to the multi-dimensionality and multi-connectivity of this enrichment process, classical control methods do not allow achieving the maximum technological indicators of enrichment. This paper proposes investigating intelligent algorithms for controlling the jigging process, which determine the key variables - the level of the natural «bed» and the ripple frequency of the jigging machine. Algorithms are developed using fuzzy logic, neural and hybrid networks. The adequacy of intelligent algorithms was evaluated using the following criteria: correlation of expert and model values (R); Root Mean Square Error (RMSE); Mean absolute percentage error (MAPE). To assess the adequacy of the obtained algorithms, a test sample of input variables, different from the training one, was compiled. As a consequence, we determined an algorithm that gives a minimal discrepancy between the calculated and experimental data.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 3; 529-534
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy switching for multiple model adaptive control in manipulator robot
Autorzy:
Kharabian, B.
Bolandi, H.
Smailzadeh, S. M.
Mousavi Mashhadi, S. K.
Powiązania:
https://bibliotekanauki.pl/articles/384940.pdf
Data publikacji:
2017
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
manipulator robot
fuzzy logic
multiple model
adaptive control
switching
Opis:
In this paper, fuzzy logic is used to perform switching controllers for Multiple Model Adaptive Control (MMAC) in manipulator robot. In the cases which uncertainty bounds of system’s parameters are large, the performance and stability issue of system are considerable concerns. Multiple Model Adaptive Control approach can be useful method to stabilize these kinds of systems. In this control method, the uncertainty bound is divided into several smaller bounds. As a result, the process of stabilization would be streamlined. In this regard, one estimation is obtained for uncertain parameter in every minor bound, and based on estimation errors designed controller can alter. In order to avoid switching controllers and pertinent challenges a summation of controllers with coefficient tuned by fuzzy logic is considered. Simulation results substantiate the efficacy of this method.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 1; 53-56
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Genetic fuzzy approach to adaptive crane control system
Autorzy:
Smoczek, J.
Powiązania:
https://bibliotekanauki.pl/articles/243018.pdf
Data publikacji:
2012
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
anti-sway crane control
pole placement
fuzzy logic
genetic algorithm
Opis:
In automated manufacturing processes the safety, precise and fast transfer of goods realized by automated material handling devices is required to raise efficiency and productivity of manufacturing process. Hence, in those industrial branches where cranes are extensively used the problem of an anti-sway crane control is especially important to speed-up the time of transportation operations and ensures the safe and effective transportation operations. The precise positioning of a cargo requires controlling the speed of crane motion mechanisms to reduce the sway of a payload. Moreover, the anti-sway crane control scheme involves applying the adaptive techniques owing to the nonlinearities of a system that comes especially from stochastic variation of rope length on which a payload is suspended and mass of this payload. The paper provides the design method of an adaptive control system for a planar model of crane. The control system is based on the gain scheduling control scheme created using fuzzy logic controller with Takagi-Sugeno-Kang-type fuzzy implications. The design process of a gain scheduling control system consists in selecting such a suitable set of operating points at which the linear controllers are determined that interpolation control scheme ensures the expected control quality within the known range of nonlinear system parameters changes, when those parameters vary in relation to the exogenous variables: rope length and mass of a payload. The method that is proposed in this paper to solve the problem of designing the fuzzy gain scheduling crane control system for minimum set of operating points is based on the pole placement method and genetic algorithm.
Źródło:
Journal of KONES; 2012, 19, 4; 577-584
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-time operational control in information management system for flash-butt welding of rails
Kontrola operacyjna w informacyjnym systemie zarządzania zgrzewaniem doczołowym szyn realizowana w czasie rzeczywistym
Autorzy:
Kuchuk-Yatsenko, S. I.
Rudenko, P. M.
Gavrysh, V. S,
Didkovsky, A. V.
Shvets, V. I.
Antipin, E. V.
Wojtas, P.
Kozłowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/1361367.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
fuzzy logic
welding
operational control
logika rozmyta
spawanie
kontrola operacyjna
Opis:
Operational control of welding quality is the fundamental element of the entire rail manufacturing process. In practice, real-time systems are used for this purpose. This article features a new method that makes use of fuzzy logic to analyze the data from mechanical tests and from the ultrasound inspection of connections.
Kontrola operacyjna jakości zgrzewania szyn jest zasadniczym elementem kontroli procesu całego procesu technologicznego produkcji szyn. W praktyce do tego celu stosowane są systemy działające w czasie rzeczywistym. W artykule zaproponowano nową metodę, która stosuje logikę rozmytą do analizowania danych pochodzących z testów mechanicznych połączeń oraz inspekcji ultradźwiękowej połączeń.
Źródło:
Mining – Informatics, Automation and Electrical Engineering; 2017, 55, 1; 35-42
2450-7326
2449-6421
Pojawia się w:
Mining – Informatics, Automation and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
MFC/IMC system for processes with varying time-delay exemplified by a 4 MW steam boiler
Układ MFC/IMC w regulacji procesami o zmiennym opóźnieniu na przykładzie kotła parowego mocy 4 MW
Autorzy:
Skoczowski, S.
Biały, P.
Pietrusewicz, K.
Powiązania:
https://bibliotekanauki.pl/articles/158136.pdf
Data publikacji:
2004
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
robust PID control
fuzzy logic
model following control (MFC)
regulacja typu model-following
Opis:
The paper deals with robust model-following control of a process with varying time-delay. The proposed MFC/IMC structure offers more robustness to plant parameter perturbations and less sensitivity to disturbances, as compared with classic single-feedback loop with PID controller. On the basis of presented results of oxide content control in a 4 MW steam boiler one can compare properties of the proposed structure with properties of the classic single-loop system with PID controller. Also, the use of PD/PI fuzzy-logic controller as a part of MFC/IMC system confirms is flexibility.
Artykuł prezentuje wyniki badań nad oporną strukturą regulacji MFC/IMC dla obiektów ze zmiennym opóźnieniem. proponowana struktura chrakteryzuje się małą wrażliwością na perturbacje nominalnego modelu sterowanego obiektu, oraz znacznym tłumieniem zakłóceń wejściowych oraz tych sprowadzonych do wyjścia obiektu. Wyniki badań symulacyjnych dla obiektów aperiodycznych z opóźnieniem z użyciem struktury MFC/IMC sprawdzone zostały na przykładzie procesu doregulowywania zawartości tlenu w kotłach parowych mocy 4 MW, i porównane z klasyczną strukturą jednopętlową z regulatorem PID.
Źródło:
Pomiary Automatyka Kontrola; 2004, R. 50, nr 12, 12; 39-42
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
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