Adaptive AI-based two-stage control for an induction machine drive
Author(s) -
Vikas Kumar,
Prerna Gaur,
Alok Prakash Mittal
Publication year - 2013
Publication title -
international journal of circuits and architecture design
Language(s) - English
Resource type - Journals
eISSN - 2051-7033
pISSN - 2051-7025
DOI - 10.1504/ijcad.2013.057458
Subject(s) - computer science , stage (stratigraphy) , artificial intelligence , control engineering , engineering , biology , paleontology
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.
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