Artificial Neural Control of 3-Phase Induction Motor Slip Regulation Using SPWM Voltage Source Inverter

J. Rashad, Lina; A. Hassan, Fadhil

doi:10.30684/etj.28.12.9

	Artificial Neural Control of 3-Phase Induction Motor Slip Regulation Using SPWM Voltage Source Inverter
Engineering and Technology Journal
Article 1, Volume 28, Issue 12, 2010, Pages 2392-2404 PDF (443.95 K)
DOI: 10.30684/etj.28.12.9
Authors
Lina J. Rashad; Fadhil A. Hassan
Abstract
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 =0.5 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 Autoregressive-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.
Keywords
Sinusoidal PWM; Speed control of induction motor; PI Controller; ANN controller; NARMA; controller

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