Extreme Learning Machines and Particle Swarm Optimization for Induction Motor Faults Detection and Classification

2015 ◽  
Vol 10 (4) ◽  
pp. 501
Author(s):  
Smail Bazi ◽  
M. S. Nait Said
2010 ◽  
Vol 02 (05) ◽  
pp. 301-310 ◽  
Author(s):  
Vadugapalayam P. Sakthivel ◽  
Ramachandran Bhuvaneswari ◽  
Srikrishna Subramanian

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yung-Chang Luo ◽  
Zhi-Sheng Ke ◽  
Ying-Piao Kuo

A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator is developed to identify synchronous speed for coordinate transformation. Third, the rotor-shaft speed on-line estimation is established applying the model reference adaptive system method based on estimated rotor-flux. Fourth, the speed controller of sensorless induction motor drive is designed using particle swarm optimization algorithm. Simulation and experimental results confirm the effectiveness of the proposed approach.


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