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    Wyświetlanie 1-5 z 5
    Tytuł:
    Unscented and extended Kalman filters study for sensorless control of PM synchronous motors with load torque estimation
    Autorzy:
    Zawirski, K.
    Janiszewski, D.
    Muszynski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/200273.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Kalman filters
    control system synthesis
    machine vector control
    sensorless drives
    velocity control
    permanent magnet synchronous motor
    Opis:
    This paper describes a study and the experimental verification of sensorless control of permanent magnet synchronous motors using Kalman filters. There are proposed two structures, extended and unscented Kalman filters, which use only the measurement of the motor current for on-line estimation of speed, rotor position and load torque reconstruction. The Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. These structures are described in detail, starting with the selection of the variables state vector, the filters structure, and ending with in-depth laboratory tests. It has become possible, without using position and torque sensors, to apply these control structures as a cost-effective solution. Experimental results confirm the validity of the proposed estimation techniques.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 4; 793-801
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experience in the development and operation of asynchronized turbogenerators and condensers in the Russian Power System
    Autorzy:
    Shakaryan, Y.
    Sokur, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/950651.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    asynchronized machine
    condenser
    doubly-fed machine
    reactive power
    vector control
    Opis:
    Asynchronized (doubly-fed) machines with two (three) excitating winding and reversing excitation system allow to control vector of magnetomotive force. This solution allows separating regulation of the electromagnetic torque (active power) and voltage (reactive power). This paper describes the experience in the development and operation of asynchronized turbogenerators and condensers.
    Źródło:
    Archives of Electrical Engineering; 2015, 64, 1; 7-15
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence-based hybrid forecasting models for manufacturing systems
    Autorzy:
    Rosienkiewicz, Maria
    Powiązania:
    https://bibliotekanauki.pl/articles/1841698.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    artificial neural network
    support vector machine
    extreme learning machine
    hybrid forecasting
    production planning
    maintenance
    quality control
    Opis:
    The paper addresses the problem of forecasting in manufacturing systems. The main aim of the research is to propose new hybrid forecasting models combining artificial intelligencebased methods with traditional techniques based on time series – namely: Hybrid econometric model, Hybrid artificial neural network model, Hybrid support vector machine model and Hybrid extreme learning machine model. The study focuses on solving the problem of limited access to independent variables. Empirical verification of the proposed models is built upon real data from the three manufacturing system areas – production planning, maintenance and quality control. Moreover, in the paper, an algorithm for the forecasting accuracy assessment and optimal method selection for industrial companies is introduced. It can serve not only as an efficient and costless tool for advanced manufacturing companies willing to select the right forecasting method for their particular needs but also as an approach supporting the initial steps of transformation towards smart factory and Industry 4.0 implementation.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 2; 263-277
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Backstepping/DTC control of a double star synchronous machine drive
    Autorzy:
    Boudana, D.
    Nezli, L.
    Tlemcani, A.
    Mahmoudi, M. O.
    Djemai, M.
    Tadjine, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/229805.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    double star synchronous machine
    direct torque control
    backstepping/DTC
    space vector modulation
    robustness
    Opis:
    Direct torque control (DTC) allows for very high quality torque control without a need for current controllers tuning or using coordinate transformation. However, barge torque ripples arise as well as inconstant inverter switching frequency due to the hysteresis of comparators. This paper present a backstepping/DTC control based on the space vector modulation (SVPWM) for double star synchronous machine (DSSM) to reduce the torque, flux, current and speed pulsations during steady state. By the coordinate transformation the DSSM models are presented in view of control. Then a conventional DTC is developed to get a decoupled system and a PI controller is designed to control the speed. To improve the static and dynamic control performance of the DSSM, the speed controller is designed using a backstepping/DTC procedure in conjunction with SVPWM. Simulation results with the conventional DTC and proposed backstepping/DTC are presented and compared. Results show the effectiveness and the robustness of the approach proposed.
    Źródło:
    Archives of Control Sciences; 2010, 20, 2; 227-247
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive control scheme based on the least squares support vector machine network
    Autorzy:
    Mahmoud, T. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/930155.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    modelowanie systemu
    system nieliniowy
    system sterowania
    sieć neuronowa
    maszyna wektorów wspierających
    support vector machine (SVM)
    neural network
    nonlinear system modeling
    nonlinear system control
    pH control
    Opis:
    Recently, a new type of neural networks called Least Squares Support Vector Machines (LS-SVMs) has been receiving increasing attention in nonlinear system identification and control due to its generalization performance. This paper develops a stable adaptive control scheme using the LS-SVM network. The developed control scheme includes two parts: the identification part that uses a modified structure of LS-SVM neural networks called the multi-resolution wavelet least squares support vector machine network (MRWLS-SVM) as a predictor model, and the controller part that is developed to track a reference trajectory. By means of the Lyapunov stability criterion, stability analysis for the tracking errors is performed. Finally, simulation studies are performed to demonstrate the capability of the developed approach in controlling a pH process.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 685-696
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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