Artificial Neural Network Based Induction Motor Speed Controller

B. O. Omijeh; D. C. Idoniboyeobu; G. O. Ajabuego

In this paper, Artificial Neural Networks (ANN) based efficient speed control of an Induction Motor has been achieved. The ANN is properly trained to learn the dynamics of the Induction Motor. The Model Predictive Control (MPC) architecture is employed for system identification and the design of the Neural Network Control system. The Field Oriented Control system is implemented which allows for independent control of speed and torque and increases the robustness of the motor. Finally, the motor was given a tough test by sudden addition of load torque while it was in operation. The neural network controller however, demonstrated that it is worth the hype by rapid rejection of load disturbance and quick stabilization to its reference speed.

Select Volume / Issues:

• Volume 6 Issue 1, Jan. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Induction motor; Artificial Neural Network; Field Oriented Control; Model Predictive Control

Journal:

IJECCE

Volume:

6

Number:

1

Pages:

1-5

Month:

Jan.-Feb

ISSN:

2249-–0