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PL
W artykule przedstawiono bezczujnikowe sterowanie polowo zorientowane dla pięciofazowego silnika indukcyjnego. Zaproponowany układ sterowania został przebadany pod kątem możliwej pracy w przypadku braku zasilania jednej oraz dwóch faz stojana silnika. Zaprezentowane wyniki badań eksperymentalnych przeprowadzono dla normalnego i awaryjnego trybu pracy napędu w zakresach prędkości ponad znamionowych oraz bardzo niskich.
EN
The paper presents sensorless field oriented control for five-phase induction motor. The proposed control system was tested for possible running under single and double open phase fault. The presented experimental results were carried out for normal and emergency operation mode of the drive above base and very low speed.
EN
In order to develop a PM BLDC motor control system, which will be tolerant of selected faults, simulation work was first performed and then verified on a universal test stand. The results were published in earlier works. The next stage of works was the implementation of previously developed algorithms on the target research test stand – in this case, the prototype vehicle. This last stage of the laboratory work has been presented in this article, i.e. it has been presented the results of experimental research related to the reproduction of rotor angle position, used after the detection of a rotor position sensor fault. A new test stand with the laboratory prototype of a vehicle with two PM BLDC motors is presented. A zeroth-order algorithm (ZOA) was used as a fault compensation method. The effectiveness and usefulness of the previously proposed methods have been confirmed.
EN
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.
PL
W artykule przedstawiono modele i analizę wybranych detektorów uszkodzeń czujnika prędkości obrotowej silnika indukcyjnego dla napędu sterowanego metodą wektorową. Analizie poddane zostały zarówno systemy wykorzystujące teorię sztucznych sieci neuronowych, jak i proste techniki bazujące na relacjach pomiędzy wybranymi zmiennymi stanu napędu. Badania symulacyjne i eksperymentalne wykonano z wykorzystaniem struktury bezpośredniego sterowania polowo – zorientowanego (DFOC) na stanowisku laboratoryjnym z zestawem szybkiego prototypowania Micro Lab Box ds1202 firmy dSpace.
EN
In the paper the chosen speed sensor faults detectors for vector controlled induction motor drive system are presented and described. Systems based on the artificial intelligence (neural network) and simple algorithmic systems are analyzed and tested in different drive conditions. 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.
EN
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.
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