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Wyświetlanie 1-7 z 7
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:
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:
Comparative stability analysis of stator current error-based estimators of induction motor speed
Autorzy:
Korzonek, M.
Orłowska-Kowalska, T.
Powiązania:
https://bibliotekanauki.pl/articles/1193535.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
MRAS-type estimator
stability
regenerating mode
Opis:
This paper deals with the stability problem of three stator current error-based estimators of induction motor speed, especially in the regenerating operation mode. The stability of the adaptive full-order observer (AFO) and two model reference adaptive systems (MRASs) based on a stator current error (MRASCC and MRASCV) is briefly analysed, and the stability borders are determined and compared. It is shown that MRASCV speed estimator is stable in the whole operation range including the regenerating mode without any modifications. The stability enhancement method for AFO and MRASCC estimators is described, and the solution for their stability improvement is proposed. Torque-speed characteristics of the analysed MRAStype estimators in a wide range of drive speed and load torque changes are given, as well as the behaviour of estimators during transients is compared. The theoretical analysis and simulation test results are validated by experimental tests.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 187-203
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
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:
Stability analysis of MRASSCC speed estimator in motoring and regenerating mode
Autorzy:
Korzonek, M.
Orłowska-Kowalska, T.
Powiązania:
https://bibliotekanauki.pl/articles/1193274.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
vector control
MRAS-type estimator
stability
regenerating mode
stabilization method
Opis:
This paper deals with the stability analysis of MRAS current speed estimator in a motoring and regenerating mode. The unstable operating points of the estimator, mainly in a regenerating mode are widely discussed. The expanded version of the estimator MRASCC is proposed to provide its stability in the whole operating range. The new correction coefficients for two analyzed stabilization methods are proposed. Finally, simulation results confirming the theoretical analysis are presented.
Źródło:
Power Electronics and Drives; 2016, 1, 36/2; 113-131
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
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
Tytuł:
Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives
Autorzy:
Adamczyk, Michał
Powiązania:
https://bibliotekanauki.pl/articles/1193854.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor drive
rotor resistance estimator
model reference adaptive system
virtual current sensor
fault tolerant control
Opis:
In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.
Źródło:
Power Electronics and Drives; 2020, 5, 40; 143-156
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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