Temat: adaptive fuzzy controller - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Analysis of adaptive neuro-fuzzy PD controller with competitive Petri layers in speed control system for DC motor
Autorzy:: Derugo, P.
Szabat, K.
Powiązania:: https://bibliotekanauki.pl/articles/97666.pdf
Data publikacji:: 2013
Wydawca:: Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:: adaptive neuro-fuzzy controller
Peri Layers
competitive layers
MRAS
Opis:: In the paper the issues related to the application of adaptive neuro-fuzzy controller for speed controller of an electrical motor are considered. Adaptive control structure with reference model (MRAS) is used. The standard controller is modified by the implementation of competitive Petri layers into its internal structure. The proposed modification improves the properties of the drive compared to the control structure with standard neuro-fuzzy controller. Theoretical considerations are confirmed by simulation studies experimental tests done on the laboratory stand.
Źródło:: Computer Applications in Electrical Engineering; 2013, 11; 267-280
1508-4248
Pojawia się w:: Computer Applications in Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Design of a robust adaptive fuzzy controller globally stabilizing the multi-input nonlinear system with state-dependent uncertainty
Autorzy:: Park, Y.
Park, G.
Powiązania:: https://bibliotekanauki.pl/articles/205909.pdf
Data publikacji:: 1998
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: sterowanie rozmyte
sterownik rozmyty adaptacyjny
układ dynamiczny
adaptive fuzzy controller
fuzzy inference
multi-input nonlinear system
robustness
state-dependent uncertainties
Opis:: In this paper a novel robust adaptive fuzzy controller is proposed for the nonlinear system with state-dependent uncertainty. Compared with the conventional adaptive fuzzy controller that determines the function which bounds the uncertainty in the system dynamics by off-line calculation on the local state space, the proposed method determines that function by the fuzzy inference so that guarantees the stability of the closed loop system globally on the whole state space. In addition the method is applied to the multi-input system. We applied the proposed method to the Burn Control of the Tokamak fusion reactor whose dynamical equations contain the state-dependent uncertainty and proved the effectiveness of the scheme by the simulation results.
Źródło:: Control and Cybernetics; 1998, 27, 4; 613-629
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Flatness-based adaptive fuzzy control of spark-ignited engines
Autorzy:: Rigatos, G.G.
Siano, P.
Powiązania:: https://bibliotekanauki.pl/articles/91727.pdf
Data publikacji:: 2014
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: adaptive fuzzy controller
spark-ignited engines
SI engines
performance criterion
neuro-fuzzy networks
neuro-fuzzy approximator
Lyapunov stability analysis
simulation experiment
Opis:: An adaptive fuzzy controller is designed for spark-ignited (SI) engines, under the constraint that the system’s model is unknown. The control algorithm aims at satisfying the H∞ tracking performance criterion, which means that the influence of the modeling errors and the external disturbances on the tracking error is attenuated to an arbitrary desirable level. After transforming the SI-engine model into the canonical form, the resulting control inputs are shown to contain nonlinear elements which depend on the system’s parameters. The nonlinear terms which appear in the control inputs are approximated with the use of neuro-fuzzy networks. It is shown that a suitable learning law can be defined for the aforementioned neuro-fuzzy approximators so as to preserve the closed-loop system stability. With the use of Lyapunov stability analysis it is proven that the proposed adaptive fuzzy control scheme results in H∞ tracking performance. The efficiency of the proposed adaptive fuzzy control scheme is checked through simulation experiments.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 4; 231-242
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: One DOF robot manipulator control through type-2 fuzzy robust adaptive controller
Autorzy:: Naderolasli, Amir
Chatraei, Abbas
Powiązania:: https://bibliotekanauki.pl/articles/385206.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: robot manipulator
Lyapunov function
one-DOF robot
adaptive fuzzy controller
robust
manipulator robota
funkcja Lapunowa
sterownik adaptacyjno-rozmyty
Opis:: In this article, the one DOF robot manipulator control is assessed through second type robust fuzzy-adaptive controller. The objective is to obtain a tracking path with appropriate accuracy. The stability of the closed loop system is verified through Lyapunov stability theory and the efficiency of tracking is analyzed subject to the constraints and uncertainty. In order to design the fuzzy controller a set of if-then fuzzy rules are considered which describe the system input-output behavior. Simulation and the results of the experiments on the one DOF robots indicate the effectiveness of the proposed methods.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 1; 65-70
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Adaptive fuzzy-sliding mode controller for trajectory tracking control of quad-rotor
Autorzy:: Simoud, Lahcen
Kadri, Boufeldja
Bousserhane, Ismail Khalil
Powiązania:: https://bibliotekanauki.pl/articles/384825.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: quadrotor UAV
sliding mode control
adaptive PD-Slidng mode controller
fuzzy PD-sliding mode
Opis:: This paper deals with the design of an adaptive-fuzzy-PD-Sliding mode controller to achieve stabilization of a quadrotor aircraft in the presence of wind disturbance. Firstly, the dynamic system modeling is carried out using Euler-Lagrange formalism. Then, an adaptive PD-sliding mode control system with an integral-operation switching surface is investigated for quadrotor desired trajectory tracking. Finally, an adaptive fuzzy-PD-sliding mode controller is proposed to achieve control objectives and system stabilization where the fuzzy logic system used to dynamically control parameters settings of the PD-sliding mode equivalent control law. Effectiveness and robustness of the proposed control scheme is verified through simulation results taking into account external disturbances. The simulation results of a quadrotor aircraft control with the proposed controller demonstrate the high performance during flight such as null tracking error and robustness in the presence of external disturbances.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 15-24
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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