Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive
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 op...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/3/571 |
| _version_ | 1811306901828272128 |
|---|---|
| author | Mateusz Dybkowski Kamil Klimkowski |
| author_facet | Mateusz Dybkowski Kamil Klimkowski |
| author_sort | Mateusz Dybkowski |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T08:53:53Z |
| format | Article |
| id | doaj.art-f8d17d52d86d490e900c2b6029d607a6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:53:53Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f8d17d52d86d490e900c2b6029d607a62022-12-22T02:53:23ZengMDPI AGSensors1424-82202019-01-0119357110.3390/s19030571s19030571Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor DriveMateusz Dybkowski0Kamil Klimkowski1Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, PolandIndependent Researcher, 50-370 Wroclaw, PolandThis 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.https://www.mdpi.com/1424-8220/19/3/571induction motorDirect Field Oriented Control (DFOC)Fault Tolerant Control (FTC)neural networkcurrent sensorfault detector |
| spellingShingle | Mateusz Dybkowski Kamil Klimkowski Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive Sensors induction motor Direct Field Oriented Control (DFOC) Fault Tolerant Control (FTC) neural network current sensor fault detector |
| title | Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive |
| title_full | Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive |
| title_fullStr | Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive |
| title_full_unstemmed | Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive |
| title_short | Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive |
| title_sort | artificial neural network application for current sensors fault detection in the vector controlled induction motor drive |
| topic | induction motor Direct Field Oriented Control (DFOC) Fault Tolerant Control (FTC) neural network current sensor fault detector |
| url | https://www.mdpi.com/1424-8220/19/3/571 |
| work_keys_str_mv | AT mateuszdybkowski artificialneuralnetworkapplicationforcurrentsensorsfaultdetectioninthevectorcontrolledinductionmotordrive AT kamilklimkowski artificialneuralnetworkapplicationforcurrentsensorsfaultdetectioninthevectorcontrolledinductionmotordrive |