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Wyszukujesz frazę "super-twisting sliding mode control" wg kryterium: Temat

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    Wyświetlanie 1-7 z 7
    Tytuł:
    Application of super-twisting sliding mode controllers in direct field-oriented control system of six-phase induction motor: experimental studies
    Autorzy:
    Listwan, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193593.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    six-phase squirrel-cage induction motor
    direct field-oriented control method
    super-twisting sliding mode control
    experimental studies
    Opis:
    This paper presents the direct field-oriented control (DFOC) method of six-phase induction motor with the application of super-twisting sliding mode algorithm. The mathematical model of the six-phase induction motor has been described. The descriptions of the space vector modulation (SVM) method and the super-twisting algorithm have been presented. The DFOC method with super-twisting sliding mode controllers has been described. The experimental studies of the DFOC method with super-twisting controllers have been performed, and the results of these studies are presented and discussed.
    Źródło:
    Power Electronics and Drives; 2018, 3, 38; 23-34
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model Predictive Super-twisting sliding mode control for an autonomous surface vehicle
    Autorzy:
    Esfahani, Hossein Nejatbakhsh
    Szlapczynski, Rafal
    Powiązania:
    https://bibliotekanauki.pl/articles/260526.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    utonomous Surface Vehicle
    Model Predictive Control
    Sliding Mode Control
    Super-Twisting Algorithm
    Chattering Attenuation
    Opis:
    This paper presents a new robust Model Predictive Control (MPC) algorithm for trajectory tracking of an Autonomous Surface Vehicle (ASV) in presence of the time-varying external disturbances including winds, waves and ocean currents as well as dynamical uncertainties. For fulfilling the robustness property, a sliding mode control-based procedure for designing of MPC and a super-twisting term are adopted. The MPC algorithm has been known as an effective approach for the implementation simplicity and its fast dynamic response. The proposed hybrid controller has been implemented in MATLAB / Simulink environment. The results for the combined Model Predictive Super-Twisting Sliding Mode Control (MP-STSMC) algorithm have shown that it significantly outperforms conventional MPC algorithm in terms of the transient response, robustness and steady state response and presents an effective chattering attenuation in comparison with the Super-Twisting Sliding Mode Control (STSMC) algorithm.
    Źródło:
    Polish Maritime Research; 2019, 3; 163-171
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High-performance induction motor drive based on adaptive super-twisting sliding mode control approach
    Autorzy:
    Farhi, Salah Eddine
    Sakri, Djamel
    Goléa, Noureddine
    Powiązania:
    https://bibliotekanauki.pl/articles/2042783.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    barrier function
    chattering
    gains adaptation
    induction motor drive
    sliding mode control
    super twisting
    Opis:
    This paper proposes two high-order sliding mode algorithms to achieve highperformance control of induction motor drive. In the first approach, the super-twisting algorithm (STA) is used to reduce the chattering effect and to improve control accuracy. The second approach combines the super-twisting algorithm with a quasi-barrier function technique. While the super-twisting algorithm (STA) aims at the chattering reduction, the Barrier super-twisting algorithm (BSTA) aims to eliminate this phenomenon by providing continuous output control signals. The BSTA is designed to prevent the STA gain from being over-estimated by making these gains to decrease and increase according to system’s uncertainties. Stability and finite-time convergence are guaranteed using Lyapunov’s theory. In addition, the two controlled variables, rotor speed, and rotor flux modulus are estimated based on the second-order sliding mode (SOSM) observer. Finally, simulations are carried out to compare the performance and robustness of two control algorithms without adding the equivalent control. Tests are achieved under external load torque, varying reference speed, and parameter variations.
    Źródło:
    Archives of Electrical Engineering; 2022, 71, 1; 245-263
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pitch and yaw motion control of 2 DoF helicopter subjected to faults using sliding-mode control
    Autorzy:
    Raghappriya, M.
    Kanthalakshmi, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2134893.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fault tolerant control
    sliding mode control
    reaching law
    super-twisting
    sensor
    actuator faults
    component faults
    Opis:
    This paper presents a fault-tolerant control scheme for a 2 DOF helicopter. The 2 DOF helicopter is a higher-order multi-input multi-output system featuring non-linearity, cross-coupling, and unstable behaviour. The impact of sensor, actuator, and component faults on such highly complex systems is enormous. This work employs sliding mode control, which is based on reaching and super-twisting laws, to handle the problem of fault control. Simulation tests are carried out to show the effectiveness of the algorithms. Various performance metrics are analyzed and the results show SMC based on super-twisting law provides better control with less chattering. The stability of the closed-loop system is mathematically assured, in the presence of faults, which is a key contribution of this research.
    Źródło:
    Archives of Control Sciences; 2022, 32, 2; 359--381
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Discrete-time sliding mode control of linear systems with input saturation
    Autorzy:
    Veselić, Boban
    Milosavljević, Čedomir
    Peruničić-Draženović, Branislava
    Huseinbegović, Senad
    Petronijević, Milutin
    Powiązania:
    https://bibliotekanauki.pl/articles/330574.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    discrete time sliding mode control
    super twisting controller
    input saturation
    disturbance compensation
    sterowanie ślizgowe
    nasycenie wejściowe
    kompensacja zakłóceń
    Opis:
    The paper proposes a discrete-time sliding mode controller for single input linear dynamical systems, under requirements of the fast response without overshoot and strong robustness to matched disturbances. The system input saturation is imposed during the design due to inevitable limitations of most actuators. The system disturbances are compensated by employing nonlinear estimation by integrating the signum of the sliding variable. Hence, the proposed control structure may be regarded as a super-twisting-like algorithm. The designed system stability is analyzed as well as the sliding manifold convergence conditions are derived using a discrete-time model of the system in the δ-domain. The results obtained theoretically have been verified by computer simulations.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 517-528
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm
    Autorzy:
    Siddique, Nazam
    Rehman, Fazal
    Raoof, Uzair
    Iqbal, Shahid
    Rashad, Muhammad
    Powiązania:
    https://bibliotekanauki.pl/articles/27311427.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    hybrid synchronization
    cellular neural network
    sliding mode control
    smooth super twisting algorithm
    Lyapunov stability theory
    synchronizacja hybrydowa
    sieć neuronowa komórkowa
    sterowanie trybem przesuwnym
    teoria Lyapunova
    stabilność Lyapunova
    algorytm super skręcania płynny
    Opis:
    This paper presents the control design framework for the hybrid synchronization (HS) and parameter identification of the 3-Cell Cellular Neural Network. The cellular neural network (CNN) of this kind has increasing practical importance but due to its strong chaotic behavior and the presence of uncertain parameters make it difficult to design a smooth control framework. Sliding mode control (SMC) is very helpful for this kind of environment where the systems are nonlinear and have uncertain parameters and bounded disturbances. However, conventional SMC offers a dangerous chattering phenomenon, which is not acceptable in this scenario. To get chattering-free control, smooth higher-order SMC formulated on the smooth super twisting algorithm (SSTA) is proposed in this article. The stability of the sliding surface is ensured by the Lyapunov stability theory. The convergence of the error system to zero yields hybrid synchronization and the unknown parameters are computed adaptively. Finally, the results of the proposed control technique are compared with the adaptive integral sliding mode control (AISMC). Numerical simulation results validate the performance of the proposed algorithm.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e146474
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust estimation based nonlinear higher order sliding mode control strategies for PMSG-WECS
    Autorzy:
    Nazir, Awais
    Khan, Safdar Abbas
    Khan, Malak Adnan
    Alam, Zaheer
    Khan, Imran
    Irfan, Muhammad
    Rehman, Saifur
    Nowakowski, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/27311430.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    wind energy conversion systems
    WECS
    robust control
    maximum power point tracking
    MPPT
    sliding mode control
    SMC
    super-twisting algorithm
    STA
    high gain observer
    artificial neural network
    ANN
    function fitting
    backstepping
    śledzenie maksymalnego punktu mocy
    obserwator o dużym wzmocnieniu
    sztuczna sieć neuronowa
    dopasowanie funkcji
    system konwersji energii wiatrowej
    sterowanie odporne
    sterowanie ślizgowe
    algorytm super skręcania
    Opis:
    The wind energy conversion systems (WECS) suffer from an intermittent nature of source (wind) and the resulting disparity between power generation and electricity demand. Thus, WECS are required to be operated at maximum power point (MPP). This research paper addresses a sophisticated MPP tracking (MPPT) strategy to ensure optimum (maximum) power out of the WECS despite environmental (wind) variations. This study considers a WECS (fixed pitch, 3KW, variable speed) coupled with a permanent magnet synchronous generator (PMSG) and proposes three sliding mode control (SMC) based MPPT schemes, a conventional first order SMC (FOSMC), an integral back-stepping-based SMC (IBSMC) and a super-twisting reachability-based SMC, for maximizing the power output. However, the efficacy of MPPT/control schemes rely on availability of system parameters especially, uncertain/nonlinear dynamics and aerodynamic terms, which are not commonly accessible in practice. As a remedy, an off-line artificial function-fitting neural network (ANN) based on Levenberg-Marquardt algorithm is employed to enhance the performance and robustness of MPPT/control scheme by effectively imitating the uncertain/nonlinear drift terms in the control input pathways. Furthermore, the speed and missing derivative of a generator shaft are determined using a high-gain observer (HGO). Finally, a comparison is made among the stated strategies subjected to stochastic and deterministic wind speed profiles. Extensive MATLAB/Simulink simulations assess the effectiveness of the suggested approaches.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e147063
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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