Model reference adaptive speed control for induction motor drive using neural networks

Abstract

A model reference adaptive speed control using neural networks is presented. The robust observer-based model reference tracking control technique is used to establish the training patterns. Then, the trained neural networks are used as the adaptive speed controller to robustly track a reference model for an induction motor drive. 
DOI: 10.1109/41.661320

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