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    Wyświetlanie 1-6 z 6
    Tytuł:
    Rotor fault compensation and detection in a sensorless induction motor drive
    Autorzy:
    Bednarz, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193283.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    rotor faults
    DFOC
    speed estimator
    MRAS
    parameter estimator
    Opis:
    The compensation and detection analysis of rotor faults in a sensorless induction motor drive system with an additional rotor resistance estimator has been conducted and the influence of the rotor faults on the properties of such system has been examined. The rotor flux vector and rotor speed have been reconstructed by the MRASCC estimator. The drive was tested for various conditions. Simulation tests were performed in the direct field oriented control (DFOC) structure realized in the MATLAB/Simulink software.
    Źródło:
    Power Electronics and Drives; 2017, 2, 37/1; 71-80
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Universal speed and flux estimator for induction motor
    Autorzy:
    Dybkowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193560.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    speed estimator
    rotor flux estimator
    parameter estimator
    induction motor
    MRAS
    universal estimator
    vector control
    Opis:
    In the paper, the concept of universal speed and flux estimator with additional parameters estimators is presented. Proposed solution is based on the Model Reference Adaptive System (MRAS) type flux and speed estimator and can be used in different industrial systems (especially in the automotive applications). Induction Motor (IM) parameters are estimated using the systems based only on simple simulators and adaptive systems (voltage model and current model). Proposed system was tested in the sensorless induction motor drive with the Direct Field Oriented Control (DFOC) algorithm. Simulation and experimental results are presented in the paper.
    Źródło:
    Power Electronics and Drives; 2018, 3, 38; 157-169
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Concept of the speed sensor faults detector for DFOC drive based on the neural network
    Autorzy:
    Klimkowski, K.
    Dybkowski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1395759.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    Fault Tolerant Control Drive (FTC)
    speed sensor faults
    failure detection
    speed estimator
    neural network
    DFOC
    Opis:
    In the paper the concept of safety vector controlled drive system with induction motor is presented. The speed sensor fault detector, based on the neural network, is described and tested in vector controlled (DFOC) induction motor drive. The fault tolerant algorithm using proposed neural network algorithm was applied and tested during different drive conditions. Simulation (obtained in MATLAB/SimPowerSystem) results are presented.
    Źródło:
    Computer Applications in Electrical Engineering; 2015, 13; 340-351
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural learning adaptive system using simplified reactive power reference model based speed estimation in sensorless indirect vector controlled induction motor drives
    Autorzy:
    Sedhuraman, K.
    Himavathi, S.
    Muthuramalingam, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/141220.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    sensorless indirect vector controlled IM drives
    speed estimator
    reactive power
    MRAS
    neural network
    back propagation algorithm
    Opis:
    This paper presents a novel speed estimator using Reactive Power based Model Reference Neural Learning Adaptive System (RP-MRNLAS) for sensorless indirect vector controlled induction motor drives. The Model Reference Adaptive System (MRAS) based speed estimator using simplified reactive power equations is one of the speed estimation method used for sensor-less indirect vector controlled induction motor drives. The conventional MRAS speed estimator uses PI controller for adaptation mechanism. The nonlinear mapping capability of Neural Network (NN) and the powerful learning algorithms have increased the applications of NN in power electronics and drives. This paper proposes the use of neural learning algorithm for adaptation in a reactive power technique based MRAS for speed estimation. The proposed scheme combines the advantages of simplified reactive power technique and the capability of neural learning algorithm to form a scheme named “Reactive Power based Model Reference Neural Learning Adaptive System” (RP-MRNLAS) for speed estimator in Sensorless Indirect Vector Controlled Induction Motor Drives. The proposed RP-MRNLAS is compared in terms of accuracy, integrator drift problems and stator resistance versions with the commonly used Rotor Flux based MRNLAS (RF-MRNLAS) for the same system and validated through Matlab/Simulink. The superiority of the RP-MRNLAS technique is demonstrated.
    Źródło:
    Archives of Electrical Engineering; 2013, 62, 1; 25-41
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization Of Current Magnitude Estimators Based On Marquardt-Levenberg Algorithm
    Autorzy:
    Łukowicz, M.
    Solak, K.
    Wicher, P.
    Wiecha, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/410595.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    signal processing
    digital filter
    magnitude estimator
    high speed overcurrent relay
    Opis:
    Digital filtering, correlation methods, time delay methods, signal differentiation are the most commonly used methods of estimating fundamental frequency orthogonal components utilized in magnitude estimators. The foundation for designing filters used in aforementioned methods are usually demanded frequency responses or signal models with their parameters to be estimated. A weak point of both approaches is frequency-domain modelling ignoring time-domain performance of the magnitude estimators. In order to fulfil the requirements of protection with the optimum speed for many different configurations, operating conditions and construction features of power systems, it is necessaiy to develop magnitude estimator design methods aimed at modelling with respect to highspeed response with simultaneous acceptable estimation accuracy in the steady state. The article discusses the implementation of Levenberg-Marquardt algorithm to optimization of current magnitude estimators designed for power system protection with the focus on estimators used in instantaneous overcurrent relays. The paper presents details of optimizing algorithm, power system model used for acquisition of signal patterns and estimator performance analyzes.
    Źródło:
    Present Problems of Power System Control; 2016, 7; 5-17
    2084-2201
    Pojawia się w:
    Present Problems of Power System Control
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive
    Autorzy:
    Stando, Dariusz
    Kazmierkowski, Marian P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193851.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    induction motor
    sensorless control
    model predictive control
    MRAS estimator
    initial speed identification
    restarting IM
    Opis:
    This article presents a simple technique of identifying the initial speed that allows for restarting a sensorless induction motor (IM) drive controlled by a model predictive flux control (MPFC). Initial speed identification is required because, according to the research, the applied current-model reference adaptive system (C-MRAS) can restart the IM after failure only if the error of the initial speed set in the estimator is < 25%. The proposed technique is based on short periods of flux generation for the certain initial speed and observation of the estimated torque respond. The direction of the estimated torque determines whether the real speed is higher or lower than the initial one set in the estimator. In two steps, the algorithm identifies the initial speed with an accuracy of 25%. This allows for a quick restart of the IM from any speed, eliminating the disadvantage of the sensorless drive control system with the C-MRAS speed estimator. The experimental results measured on a 50 kW drive which illustrates the operation and performances of the system are presented.
    Źródło:
    Power Electronics and Drives; 2020, 5, 40; 189-197
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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