Temat: fuzzy logic type 2 - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: On the elimination of nonlinear phenomena in DC/DC converters using type-2 fuzzy logic controller
Autorzy:: Gozim, D.
Guesmi, K.
Mahi, D.
Powiązania:: https://bibliotekanauki.pl/articles/329252.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: power converter
type-2 fuzzy logic controller
bifurcation
chaos
urządzenie przekształtnikowe
logika rozmyta
bifurkacje
Opis:: DC/DC converters are wealthy of nonlinear phenomena that appear when the converter parameters are subject to perturbation or variation. The converter may exhibit bifurcation from behavior to another, quasi periodic and chaotic responses. In such cases, it is difficult and even impossible to analyze, to predict and to control the converter behavior. This paper gives a description of a DC/DC converter and shows their desirable and undesirable behaviors; then a solution, based on type-2 fuzzy logic controller, is proposed to eliminate the undesirable behaviors and to enhance the converter dynamics.
Źródło:: Diagnostyka; 2018, 19, 3; 73-80
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller
Autorzy:: Herizi, Abdelghafour
Rouabhi, Riyadh
Zemmit, Abderrahim
Powiązania:: https://bibliotekanauki.pl/articles/2232527.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: double fed induction motor
type-2 fuzzy logic
backstepping control
hybrid control
robust
silnik indukcyjny
logika rozmyta typu 2
kontrola wsteczna
sterowanie hybrydowe
Opis:: The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
Źródło:: Diagnostyka; 2023, 24, 3; art. no. 2023301
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A robust fault diagnosis and forecasting approach based on Kalman filter and interval type-2 fuzzy logic for efficiency improvement of centrifugal gas compressor system
Autorzy:: Nail, Bachir
Kouzou, Abdellah
Hafaifa, Ahmed
Hadroug, Nadji
Puig, Vicenç
Powiązania:: https://bibliotekanauki.pl/articles/329190.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: fault detection
diagnosis
centrifugal gas compressor
Kalman filter
interval type-2 fuzzy logic
experimental data
ARIMA
detekcja uszkodzeń
diagnostyka
filtr Kalmana
Opis:: The paper proposes a robust faults detection and forecasting approach for a centrifugal gas compressor system, the mechanism of this approach used the Kalman filter to estimate and filtering the unmeasured states of the studied system based on signals data of the inputs and the outputs that have been collected experimentally on site. The intelligent faults detection expert system is designed based on the interval type-2 fuzzy logic. The present work is achieved by an important task which is the prediction of the remaining time of the system under study to reach the danger and/or the failure stage based on the Auto-regressive Integrated Moving Average (ARIMA) model, where the objective within the industrial application is to set the maintenance schedules in precisely time. The obtained results prove the performance of the proposed faults diagnosis and detection approach which can be used in several heavy industrial systems.
Źródło:: Diagnostyka; 2019, 20, 2; 57-75
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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