Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

2014 ◽  
Vol 9 (4) ◽  
pp. 749 ◽  
Author(s):  
Pavel Brandstetter ◽  
Martin Kuchar ◽  
Ondrej Skuta
Keyword(s):  
Neural Network ◽  
Vector Control ◽  
Induction Motor ◽  
Control Structure ◽  
Rbf Neural Network

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

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 571 ◽  
Author(s):  
Mateusz Dybkowski ◽  
Kamil Klimkowski
Keyword(s):  
Neural Network ◽  
Induction Motor ◽  
Control Algorithm ◽  
Control Structure ◽  
Fault Tolerant ◽  
Current Sensor ◽  
Sensor Faults ◽  
Safety Level ◽  
The Neural Network ◽  
Network Application

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.

Robust vector control of saturated induction motor using neural network

2003 ◽  
Vol 36 (7) ◽  
pp. 77-82 ◽  
Author(s):  
K. Yazid ◽  
K. Bouhoune ◽  
R. Ibtiouen
Keyword(s):  
Neural Network ◽  
Vector Control ◽  
Induction Motor
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