Artificial neural control of 3-phase induction motor slip regulation using spwm voltage source inverter

Abstract EN

Variable-Voltage Variable-Frequency control represents the most successful used method in speed control of 3-phase induction motor, which is implemented by using PWM techniques.

This paper proposes modeling and simulation of sinusoidal PWM voltage source inverter as a VVVF A.C drive.

The dynamic model, simulation of 3-phase induction motor, and open loop speed control system is proposed too.

The PI closed loop controller of rotor slip regulation is illustrated as a traditional speed control method, which gives stable operation behavior of motor speed in the constant torque region with settling time = .5 sec and maximum overshot = 20%, but unstable operation in the field weakening regions with steady state error = 15%.

The Artificial Neural Network (ANN) is going to be the modern type of speed controller.

This paper proposes NARMA-L2 (Nonlinear Auto regressive-Moving Average) neural network as an improved Artificial Neural Network technique, and trained as a close loop slip regulation controller, which gives an ideal performance with settling and rise time = 0.18 sec, maximum overshot and steady state error less than 1% in different speed range and constant air gap flux, including the field weakening regions.