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1
Content available Introduction to the Special Section on State and Parameter Estimation Methods for Sensorless Drives
Barut M., Hinkkanen M., Orlowska-Kowalska T.
Power Electronics and Drives
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2018
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Vol. 3 (38), No. 1
111-113
EN
This short article constitutes an introductory part of the Special Section (SS) on State and Parameter Estimation Methods in Sensorless Drives. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on estimation of the state variables and parameters for vector-controlled induction motor (IM) drives, using different concepts, such as different types of Kalman filters (KFs) and model reference adaptive systems (MRASs). The KF was also proposed for brushless DC motor (BLDC). Also, neural networks (NNs) have been proposed for mechanical state variables’ estimation of the drive system with elastic couplings.
2
Content available Simple diagnostic technique of a single IGBT open-circuit faults for a SVM-VSI vector controlled induction motor drive
Orlowska-Kowalska T., Sobański P.
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2015
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Vol. 63, nr 1
281--288
EN
In this paper a simple diagnostic system for a single IGBT open-circuit faults for a two level voltage inverter-fed field oriented controlled induction motor drive was presented. A fault diagnostic procedure is carried out by utilizing an analysis of a stator current vector trajectory in α-β coordinates. An extraction of the failure information is based on monitoring of an angle between the stator current space vector and the axis. Thanks to a diagnostic signal normalization, high robustness to false diagnosis alarms is guaranteed. To confirm the proposed method, simulation results under a wide range working condition of the induction motor drive were presented.
3
Content available Control of the DTC-FSVM based induction motor drive in a wide speed range
Nguyen Thac K., Orlowska-Kowalska T.
Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały
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2014
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Vol. 70, nr 34
3--15
EN
In this paper the direct flux and torque control structure based on Flux-error Space Vector Modulation (DTC-FSVM) has been analyzed and compared to a classical DTC-SVM system. The control structures have been tested in a wide speed range including field weakening algorithm based on the voltage and current limits of the voltage inverter and the induction motor. The proposed control strategies are verified through simulation with a 3 kW induction motor drive.
4
Content available Unified approach to the sliding-mode control and state estimation – application to the induction motor drive
Orlowska-Kowalska T., Tarchala G.
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2013
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Vol. 61, nr 4
837--846
EN
In this paper a generalized design procedure of the sliding mode systems is described. A unified approach is applied to control and state variables estimation algorithms. Selected solutions are then applied in the induction motor drive system. An identical design procedure is used to design the speed control and MRAS-type speed estimator. Presented algorithms are verified using experimental tests performed on the 3 kW laboratory setup.
5
Content available Influence of the stator winding resistance on the field-weakening operation of the DRFOC induction motor drive
Nguyen-Thac K., Orlowska-Kowalska T., Tarchala G.
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2012
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Vol. 60, nr 4
815-823
EN
In this paper, an analysis of the influence of the stator winding resistance on the field-weakening operation of the induction motor drive based on the Direct Rotor Flux Oriented Control (DRFOC) is presented. Two scenarions of the optimal field-weakening algorithm (with and without stator winding resistance taken into account) have been compared and verified through simulation and experiment, under different operation conditions of the DRFOC drive system with 3 [kW] induction motor.
6
Content available remote Extended Kalman filters in the control structure of two-mass drive system
Szabat K., Orlowska-Kowalska T., Dyrcz K.P.
Bulletin of the Polish Academy of Sciences. Technical Sciences
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2006
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Vol. 54, nr 3
315-325
EN
The paper deals with the application of the extended Kalman filters in the control structure of a two-mass drive system. In the first step only linear extended Kalman filter was used for the estimation of mechanical state variables of the drive including load torque value. The estimation algorithm showed good robustness to mechanical parameters varia-tions. For the system with some parameters changing in the wide range, simultaneous est-imation of the state variables and chosen system parameters is required. For this reason the non-linear extended Kalman filter, which estimates simultaneously state variables and mechanical parameters of the two-mass drive system, was developed. Parameters of covariance matrices of used Kalman filters were set using the genetic algorithm. Both proposed estimators were investigated in simulation and experimental tests, in the open-loop operation and in the state-feedback control system of the two-mass system.
7
Content available remote Zastosowanie sieci neuronowych do estymacji strumienia wirnika silnika indukcyjnego
Orlowska-Kowalska T.
Przegląd Elektrotechniczny
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2001
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R. 77, nr 7-8
187-190
PL
W pracy przedstawiono możliwości zastosowania sieci neuronowych do odtwarzania amplitudy i fazy wektora strumienia silnika indukcyjnego. Stosowano sieci wielowarstwowe o różnych funkcjach aktywacji, jednokierunkowe i rekurencyjne, przy wykorzystaniu jako informacji wejściowej jedynie pomiarów prądów fazowych silnika i ich przetworzonych wartości. Jako sygnałów treningowych użyto przebiegów przejściowych uzyskanych z symulacji modelu matematycznego silnika indukcyjnego. Do optymalizacji wag SN stosowano metodę wstecznej propagacji błędu, z modyfikacją Levenberga-Marquardta. Do trenowania rożnych struktur sieci neuronowych wykorzystano oprogramowanie Neural Network Toolbox dla środowiska Matlab-Simulink.
EN
The paper deals with neural networks application for the reconstruction of rotor flux vector magnitude and phase of the induction motor. Multilayer feedforward and recurrent networks with different activation functions of neurons were applied, with stator currents and their preprocessed values used as neural network inputs. Motor transients obtained from simulation of the mathematical model of the induction motor were used as training vectors. The backpropagation algorithm with Levenberg-Marquardt modification was applied to the adjustment of weight factors of neurons. In the training and testing procedures Neural Network Toolbox and Matlab-Simulink were used.
8
Content available remote Zagadnienia wyznaczania parametrów schematu zastępczego silnika indukcyjnego w stanie nieruchomym
Orlowska-Kowalska T., Bos A.
Przegląd Elektrotechniczny
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2001
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R. 77, nr 9
222-226
PL
W pracy przedstawiono przegląd metod identyfikacji parametrów schematu zastępczego silnika indukcyjnego w stanie nieruchomym. Omówiono zmodyfikowaną metodę identyfikacji na podstawie odpowiedzi prądowej silnika na wymuszenie w postaci skoku napięcia stałego. Przedstawiono praktyczny sposób jej realizacji oraz ocenę dokładności metody, na podstawie porównania przebiegów mierzonych i uzyskanych podczas symulacji numerycznej odpowiedzi skokowej oraz procesu przejściowego silnika podczas rozruchu. Dokonano oceny zbieżności algorytmów numerycznych stosowanych w procesie identyfikacji oraz porównania czasów trwania obliczeń pod kątem przydatności do realizacji w układach czasu rzeczywistego.
EN
The overview of identification methods for equivalent circuit parameters of the induction motor at standstill was presented in the paper. The modified current-step-response identification method was described in detail and its practical realisation was presented. The obtained results were evaluated and the current-step-response of the motor at standstill as well as motor transients during line-start operation obtained by numerical simulation were compared with experimental tests. The evaluation of the convergence of two numerical algorithms used in the identification process was performed and the time dedicated to numerical calculations was compared from the point of view of the real-time systems application.
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