Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive

Autor:	Mateusz Dybkowski, Kamil Klimkowski
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	induction motor Direct Field Oriented Control (DFOC) Fault Tolerant Control (FTC) neural network current sensor fault detector Chemical technology TP1-1185
Zdroj:	Sensors, Vol 19, Iss 3, p 571 (2019)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s19030571
Popis:	This paper describes a Fault Tolerant Control structure for the Induction Motor (IM) drive. We analyzed the influence of current sensor faults on the properties of the vector-controlled IM drive system. As a control algorithm, the Direct Field Oriented Control structure was chosen. For the proper operation of this system and for other vector algorithms, information about the stator currents components is required. It is important to monitor and detect these sensor faults, especially in drives with an increased safety level. We discuss the possibility of the neural network application in detecting stator current sensor faults in the vector control algorithm. Simulation and experimental results for various drive conditions are presented.
Databáze:	Directory of Open Access Journals
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