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Wyświetlanie 1-15 z 68
Tytuł:
A Robust Control Strategy for Microgrid Energy Using Fuzzy Logic
Autorzy:
Meliani, Meryem
El Barkany, Abdellah
El Abbassi, Ikram
Absi, Rafik
Jeffali, Faouaz
Powiązania:
https://bibliotekanauki.pl/articles/2201185.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
energy control
renewable energy sources
fuzzy logic system
microgrid
storage system
smart grid
Opis:
This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system’s uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle.
Źródło:
Management and Production Engineering Review; 2023, 14, 1; 127--136
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Architecture for Making Judgments Using Computing With Words
Autorzy:
Mendel, J. M.
Powiązania:
https://bibliotekanauki.pl/articles/908008.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
informatyka
computing with words
footprint of uncertainty
perceptual computer
type-2 fuzzy logic system
judgments
Opis:
Our thesis is that computing with words needs to account for the uncertainties associated with the meanings of words, and that these uncertainties require using type-2 fuzzy sets. Doing this leads to a proposed architecture for making judgments by means of computing with words, i.e., to a perceptual computer - the Per-C. The Per-C includes an encoder, a type-2 rule-based fuzzy logic system, and a decoder. It lets all human-computer interactions be performed using words. In this paper, a quantitative language is established for the Per-C, and many open issues about the perceptual computer are described.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2002, 12, 3; 325-335
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
UAV flight safety system based on fuzzy logic
System bezpieczeństwa lotów UAV oparty na metodach logiki rozmytej
Autorzy:
Shcherban, Anastasiia
Ieremenko, Volodymyr
Powiązania:
https://bibliotekanauki.pl/articles/36434002.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Tematy:
LPAB
unmanned aircraft
fuzzy logic system
method of decision-making
UAV
bezzałogowy statek powietrzny
metody logiki rozmytej
podejmowanie decyzji
Opis:
The article proposes a method of deciding on the continuation or termination of the UAV flight on the basis of fuzzy logic to ensure its trouble-free flight, which will be used in the future to build an onboard monitoring system of the power supply of the unmanned aerial vehicle. The developed method of decision-making allows to determine the residual battery life on the basis of data on current voltage, battery temperature, temperature on board the UAV and the direction and strength of the wind, using which the computer system will make recommendations for continuing or terminating the UAV flight task. The method of decision-making using fuzzy logic involves the formation of linguistic variables, which are the input information parameters and the output decision, their linguistic terms and membership functions, as well as a system of rules for decision-making. The voltage at the output of the battery, its surface temperature and the wind direction on board the UAV were used as input variables, and the residual battery life was used as the output linguistic variable.
W artykule zaproponowano sposób podejmowania decyzji o kontynuacji lub zakończeniu lotu UAV w oparciu o logikę rozmytą zapewniający jego bezproblemowy lot, który posłuży w przyszłości do budowy pokładowego systemu monitoringu zasilania bezzałogowego pojazdu powietrznego. Opracowana metoda podejmowania decyzji pozwala określić resztkową żywotność baterii na podstawie danych o aktualnym napięciu, temperaturze baterii, temperaturze na pokładzie UAV oraz kierunku i sile wiatru, na podstawie których system komputerowy będzie zalecał kontynuację lub zakończenie zadania UAV. Metoda podejmowania decyzji z wykorzystaniem logiki rozmytej polega na tworzeniu zmiennych lingwistycznych, którymi są parametry informacji wejściowej i decyzja wyjściowa, ich terminy językowe i funkcje przynależności, a także system reguł podejmowania decyzji. Napięcie na wyjściu akumulatora, jego temperatura powierzchni i kierunek wiatru zostały wykorzystane jako zmienne wejściowe, a pozostała żywotność akumulatora została wykorzystana jako wyjściowa zmienna językowa.
Źródło:
Transactions on Aerospace Research; 2020, 4 (261); 71-80
0509-6669
2545-2835
Pojawia się w:
Transactions on Aerospace Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Higher order fuzzy logic in controlling selective catalytic reduction systems
Autorzy:
Niewiadomski, A.
Kacprowicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/201190.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Selective Catalytic Reduction
SCR
air pollution
nitrogen oxides
adjustable air filter
ammonia valve
interval-valued fuzzy logic system
fuzzy controlling of air filter adjustments
type-2 fuzzy logic system
fuzzy implications
selektywna redukcja katalityczna SCR
zanieczyszczenia powietrza
tlenki azotu
regulowane filtry powietrza
zawór amoniaku
rozmyte kontrolowanie zmian filtra powietrza
typ-2 systemu logiki rozmytej
implikacja rozmyta
Opis:
This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research is to control an SCR system responsible for emission of nitrogen oxide (NO) and nitrogen dioxide (NO2) to the air, using SCR with ammonia (NH3). There are two higher-order fuzzy logic systems presented, applying interval-valued fuzzy sets and type-2 fuzzy sets, respectively. Fuzzy sets and higher order fuzzy sets describe linguistically levels of nitrogen oxides as the input, and settings of ammonia valve in the air filter as the output. The obtained results are consistent with data provided by experts. Besides, we show that the type-2 fuzzy logic controllers allows us to obtain results much closer to desired parameters of the ammonia valve, than traditional FLS.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 4; 743-750
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assesment of existing reinforced concrete structures with usage of the fuzzy logic - based expert system
Autorzy:
Tur, Viktar
Yalavaya, Yuliya
Powiązania:
https://bibliotekanauki.pl/articles/132073.pdf
Data publikacji:
2019
Wydawca:
Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
Tematy:
expert system
fuzzy logic
existing structures
Opis:
Fuzzy logic is a useful tool when assessing the existing reinforced concrete structures. The introduction of expert system in assessing the technical condition of the existing structures built on the fuzzy logic represents a transition to a new and higher-quality level for the survey of constructions sites. As a result, it is seen that the assessment of the existing building with the usage of the proposed expert system complies with the estimation of the qualified experts.
Źródło:
Modern Engineering; 2019, 2; 61-70
2450-5501
Pojawia się w:
Modern Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A short note on $L_{CBA}$ - fuzzy logic with a non-associative conjunction
Autorzy:
Kolařík, Miroslav
Powiązania:
https://bibliotekanauki.pl/articles/728850.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
axiomatic system
non-associativity
fuzzy logic
Opis:
We significantly simplify the axiomatic system $L_{CBA}$ for fuzzy logic with a non-associative conjunction.
Źródło:
Discussiones Mathematicae - General Algebra and Applications; 2016, 36, 1; 113-116
1509-9415
Pojawia się w:
Discussiones Mathematicae - General Algebra and Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Aircraft docking guidance system to the gate using fuzzy logic
Autorzy:
Żurawski, P.
Grzesik, N.
Kuźma, K.
Powiązania:
https://bibliotekanauki.pl/articles/243957.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
fuzzy logic
fuzzy expert system
aircraft taxiing
aircraft steering
Opis:
The article presents the concept of automated final process of aircraft taxiing to the gate at the terminal. On the basis of an analysis of the possibilities of aircraft taxiing in civil airports, the authors attempted at optimizing this process. The main objective of the project is to reduce the taxiing time, consequently reducing fuel consumption as well as the rotation time. As a result of the work, the authors designed a controller based on fuzzy logic, which, depending on the initial parameters, calculates the set values for the execution system of aircraft control in the horizontal plane and for the taxi speed. The controller receives two input signals, which determine two output signals. The designed controller allows comprehensive and fully automated aircraft steering. The project relies on data with regard to the apron class D, suited to handle aircraft with a wingspan of up to 52 m and the characteristics of a Boeing 767-200 in speed taxiing and the maximum turn of the nose gear. The measurements of the apron have been adopted in accordance with international regulations in the ICAO DOC 9157 “Aerodrome Design Manual”. The maximum deviation of the nose gear from the centre line was assumed 2.5 m in each direction and a safe distance behind the immobile aircraft equal to 25 m. The length of the Boeing aircraft 767-200 is below 48 m, therefore the input boundary parameters are equal to +/- 2.5 m from the centre line and 80 m from the designated aircraft stand (nose gear). The article presents the project of the controller and its optimization. The authors simulated the controller operation in the package MATLAB “Simulink”. The article ends with data analysis and final conclusions.
Źródło:
Journal of KONES; 2018, 25, 3; 549-556
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of fuzzy expert system for an automatic control of the propulsion system in the aircraft ZLIN 143LSi
Autorzy:
Krok, B.
Grzesik, N.
Kuźma, K.
Powiązania:
https://bibliotekanauki.pl/articles/242523.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
fuzzy logic
fuzzy expert system
propulsion system
aircraft Zlin 143LSi
Opis:
The article discusses the manner of controlling the propulsion system in the aircraft Zlin 143LSi, which is equipped with a piston engine driving a variable-pitch propeller. All the operating procedures are carried out manually by the pilot in accordance with the flight manual. The authors attempted at developing the project of a controller based on fuzzy logic, whose main goal was automating the control system of the propulsion unit, thus lowering the level of difficulty of pilotage, and increasing the economics of the operation. The project was made in an interactive environment FuzzyLogic Toolbox of the MATLAB programme. In the analysis, three input parameters were taken into account, exerting an impact on changing the rotational speed of the propeller: the charging pressure of the propulsion unit expressed in inches of mercury, the speed of the aircraft (TAS) in knots and the angle of attack, at which the flight is made, expressed in degrees. On the basis of the above-mentioned input signals, the rotation speed of the propeller was determined, by changing the blade pitch and the recommended angle of attack for the parameters in order to make an optimal use of the data of the flight conditions. The article presents the project of the controller and its optimization. The authors simulated the controller operation in the package MATLAB “Simulink”. The article ends with data analysis and final conclusions.
Źródło:
Journal of KONES; 2018, 25, 3; 307-314
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
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:
Logika rozmyta w projektowaniu charakterystyki przyrządu pomiarowego
Fuzzy logic in measuring instrument characteristic design
Autorzy:
Jagielski, J.
Powiązania:
https://bibliotekanauki.pl/articles/152177.pdf
Data publikacji:
2008
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
system pomiarowy
zbiór rozmyty
wnioskowanie rozmyte
measuring system
fuzzy sets
fuzzy logic
Opis:
Projektowanie systemów pomiarowych obejmuje opracowanie koncepcji metod pomiarowych, rozwiązań układowych oraz metod i algorytmów przetwarzania sygnałów oraz sterowania. Jedną z własności systemu pomiarowego jest charakterystyka typu wejście-wyjście. Jest ona kształtowana z zastosowaniem algorytmów przetwarzania sygnałów. W artykule przedstawiono propozycję zastosowania wnioskowania rozmytego do projektowania charakterystyki.
Measuring system design comprise the elaboration of the idea of measuring methods and systemic solutions and methods and algorithms of the signal processing and the control. One of the property of the measuring system is the characterization of the I/O type. It is shaped with the use of algorithms of the signal processing. This proposal of the use of the fuzzy inference of the characterization design in the paper is presented.
Źródło:
Pomiary Automatyka Kontrola; 2008, R. 54, nr 6, 6; 377-379
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using fuzzy logic to support maintenance decisions according to Resilience-Based Maintenance concept
Autorzy:
Bukowski, Lech
Werbińska-Wojciechowska, Sylwia
Powiązania:
https://bibliotekanauki.pl/articles/1841743.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
maintenance
system resilience
maintenance capability
fuzzy logic
uncertainty
Opis:
Many authors have highlighted the importance of physical assets maintenance management in relation to resilience engineering, especially for systems operating under significant uncertainty. Thus, the authors presented a new approach to system maintenance based on resilience concept implementation. They introduced Maintenance Support Potentials (MSP) as a measure of an organization's maintenance support capacity. Moreover, based on the MSP definition, they developed a fuzzy-based organization's maintenance support potential level assessment method. The proposed approach takes into account two main MSP parameters – potential readiness level and process regency. It followed four main steps, including organization's MSP identification/evaluation, MSP weights assessment, Maintenance Support Capacity assessment, and final reasoning. A case study of a global manufacturer from the automotive industry is presented to illustrate the method's applicability. The authors also indicated further research directions to optimize the maintenance strategy based on Resilience-Based Maintenance concept.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 294-307
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new mechanism for data visualization with TSK-type preprocessed collaborative fuzzy rule based system
Autorzy:
Prasad, M.
Liu, Y.-T.
Li, D.-L.
Lin, C. -T.
Shah, R. R.
Kaiwartya, O. P.
Powiązania:
https://bibliotekanauki.pl/articles/91743.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
fuzzy interference system
collaborative clustering
fuzzy logic
big data
data visualization
Opis:
A novel data knowledge representation with the combination of structure learning ability of preprocessed collaborative fuzzy clustering and fuzzy expert knowledge of TakagiSugeno-Kang type model is presented in this paper. The proposed method divides a huge dataset into two or more subsets of dataset. The subsets of dataset interact with each other through a collaborative mechanism in order to find some similar properties within eachother. The proposed method is useful in dealing with big data issues since it divides a huge dataset into subsets of dataset and finds common features among the subsets. The salient feature of the proposed method is that it uses a small subset of dataset and some common features instead of using the entire dataset and all the features. Before interactions among subsets of the dataset, the proposed method applies a mapping technique for granules of data and centroid of clusters. The proposed method uses information of only half or less/more than the half of the data patterns for the training process, and it provides an accurate and robust model, whereas the other existing methods use the entire information of the data patterns. Simulation results show the proposed method performs better than existing methods on some benchmark problems.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 33-46
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling and control of an unstable system using probabilistic fuzzy inference system
Autorzy:
Sozhamadevi, N.
Sathiyamoorthy, S.
Powiązania:
https://bibliotekanauki.pl/articles/229309.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inverted pendulum and cart system
probabilistic fuzzy set
probabilistic fuzzy relation
probabilistic fuzzy inference system
probabilistic fuzzy logic controller
Opis:
A new type Fuzzy Inference System is proposed, a Probabilistic Fuzzy Inference system which model and minimizes the effects of statistical uncertainties. The blend of two different concepts, degree of truth and probability of truth in a unique framework leads to this new concept. This combination is carried out both in Fuzzy sets and Fuzzy rules, which gives rise to Probabilistic Fuzzy Sets and Probabilistic Fuzzy Rules. Introducing these probabilistic elements, a distinctive probabilistic fuzzy inference system is developed and this involves fuzzification, inference and output processing. This integrated approach accounts for all of the uncertainty like rule uncertainties and measurement uncertainties present in the systems and has led to the design which performs optimally after training. In this paper a Probabilistic Fuzzy Inference System is applied for modeling and control of a highly nonlinear, unstable system and also proved its effectiveness.
Źródło:
Archives of Control Sciences; 2015, 25, 3; 377-396
1230-2384
Pojawia się w:
Archives of Control Sciences
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:
Hybrid intelligent system for pattern recognition
Autorzy:
Melin, P.
Castillo, O.
Powiązania:
https://bibliotekanauki.pl/articles/384459.pdf
Data publikacji:
2007
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
soft computing
intelligent system
algorithms
fuzzy logic
neural networks
Opis:
We describe in this paper a general overview oj the analysis and design of hybrid intelligent systems for pattern recognition applications. Hybrid intelligent systems can be developed by a careful combination of several soft-computing techniques. The combination of soft computing techniques has to take advantage of the capabilities of each technique in solving port of the pattern recognition problem. We review the problems of face, fingerprint and mice recognition and their soiution using hybrid intelligent systems. Recognition rates achieved with the hybrid approaches are comparable with the best approaches known for solving these recognition problems.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 2; 13-19
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 68

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