Control of doubly-fed induction machine storage system for constant charging/discharging grid power using artificial neural network

2012 ◽  
Author(s):  
A.S. Abdel-Khalik ◽  
A. Elserougi ◽  
A. Massoud ◽  
S. Ahmed
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Storage System ◽  
Induction Machine ◽  
Doubly Fed Induction Machine ◽  
Artificial Neural ◽  
Doubly Fed

scholarly journals Artificial neural network vector controlled common high-side switch asymmetric converter fed switched reluctance motor drive

2021 ◽  
Vol 24 (2) ◽  
pp. 697
Author(s):  
Ashok Kumar Kolluru ◽  
Malligunta Kiran Kumar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Machine ◽  
Switched Reluctance Motor ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Reluctance Motor ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
The Cost

<p>The best alternative machine for synchronous and induction machine is switched reluctance machine for various applications. An artificial neural network (ANN) based vector controller is implemented for novel converter to drive switched reluctance motor (SRM) in this paper. To reduce the cost and simplified the controller an effective configuration of converter is proposed with only 4 pulse-withmodulation (PWM) based switches. The 6 pole stator and 4 pole rotor machine is considered in this paper to present results based on MATLAB. The ripples in torque are reduced by proposing vector controller by using novel configuration of converter. Generally SRM machines are having high ripples in torque, hence less number of switches will be feasible solution to drive the machine in order to reduce ripples. The proposed controller can also help to operate system with less ripples in torque since the controller having both torque and flux hysteresis controllers. The extensive results are presented on Simulink platform to validate the proposed method under both steady state as well as transient conditions.</p>

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