Adaptive AI-based two-stage control for an induction machine drive. (1st January 2013)

• Record Type: Journal Article
• Authors: Kumar, Vikas; Gaur, Prerna; Mittal, A.P.
• Is Part Of: International journal of circuits and architecture design. Volume 1:Number 1(2013)
• Page Start: 74
• Page End: 88
• Publication Date: 2013-01-01
• Subjects: neuro-fuzzy control -- current input model -- two-stage control -- adaptive control; Electronic circuit design -- Periodicals; Electronic circuit design -- Mathematical models -- Periodicals; Computer-aided design -- Periodicals; Computer engineering -- Periodicals; 621.381505
• Languages: English
• ISSNs: 2051-7025

Abstract

In this paper, a two-stage control strategy for speed control of an induction machine drive is investigated by establishing the current input model of an induction motor drive. In order to reduce the effect of machine parameter variations on the performance of the drive, AI-based adaptive neuro-fuzzy controller is implemented to act on both slip frequency and current magnitude. The effect of the load torque variations and rotor resistance variations is observed for the controller.