Autor: Klimkowski, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An artificial neural networks approach to stator current sensor faults detection for DTC-SVM structure
Autorzy:: Klimkowski, K.
Powiązania:: https://bibliotekanauki.pl/articles/1193212.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: DTC-SVM
current sensor
induction motor
detector
fault tolerant drive
neural network
Opis:: In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive system. The systems with different learning algorithms and structures are analyzed and tested in different drive conditions. Simulation results are obtained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSystem software.
Źródło:: Power Electronics and Drives; 2016, 1, 36/1; 127-138
2451-0262
2543-4292
Pojawia się w:: Power Electronics and Drives
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Compensation methods of current and speed sensor faults for a vector controlled induction motor drive system
Autorzy:: Klimkowski, K.
Powiązania:: https://bibliotekanauki.pl/articles/1193297.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: DFOC
speed sensor
current sensor
detector
fault tolerant drive
Opis:: Chosen speed and current sensor fault detectors for a vector controlled induction motor drive system have been presented. Systems based on the artificial intelligence (neural network) and simple algorithmic systems were analyzed and tested in various drive conditions. The influence of chosen sensor faults on performance of the drive system has been presented. The compensation strategy was proposed and tested. A fault tolerant drive, based on hardware redundancy, has been developed and presented. Simulation and experimental results are obtained in direct field oriented control algorithm (DFOC) on the laboratory set-up with rapid prototyping card Micro Lab Box DS1202 by dSpace.
Źródło:: Power Electronics and Drives; 2017, 2, 37/1; 57-69
2451-0262
2543-4292
Pojawia się w:: Power Electronics and Drives
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

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

Skocz do pozycji: 4.

Tytuł:: An influence of the chosen sensors faults to the performance of the vector controlled induction motor drive system
Autorzy:: Klimkowski, K.
Dybkowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/97365.pdf
Data publikacji:: 2014
Wydawca:: Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:: fault tolerant control (FTC)
speed sensor
current sensor
faults
induction motor drive
DFOC
MRAS
Opis:: In the paper the influence of the chosen sensors faults (rotor speed and stator current sensors) to the properties of induction motor drive system working in the Direct Field Oriented Control structure (DFOC) were tested. Simulations results carried out in Matlab/SimPowerSystem software. Study results contains an analysis of the state variables such as: mechanical and estimated speed, electromagnetic torque, stator's phase currents and rotor flux. Additionally the usage of these signals to develop faults detection algorithms were tested.
Źródło:: Computer Applications in Electrical Engineering; 2014, 12; 294-301
1508-4248
Pojawia się w:: Computer Applications in Electrical Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 5.

Tytuł:: Analysis of the fault tolerant induction motor drive system
Autorzy:: Klimkowski, K.
Dybkowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/97644.pdf
Data publikacji:: 2014
Wydawca:: Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:: fault tolerant control (FTC)
induction motor drive
diagnostic system
sensor faults
DFOC
MRAS
Opis:: In the paper the influence of the chosen sensors faults (rotor speed and stator current sensors) to the properties of vector controlled induction motor drive system are tested. Faults detection algorithms based on the simple signals from internal control structure are developed. The simulation tests carried out in Matlab/SimPowerSystem software. The proposed solution can be successfully applied in the fault tolerant drive systems.
Źródło:: Computer Applications in Electrical Engineering; 2014, 12; 302-308
1508-4248
Pojawia się w:: Computer Applications in Electrical Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

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