Induction motor servo drive with adaptive rotor time-constant estimation

Faa Jeng Lin, Ho Ming Su, Hong Pong Chen

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

An indirect filed-oriented induction motor (IM) position servo drive with adaptive rotor time-constant estimation and an on-line trained neural network controller is presented. First, the rotor time-constant is estimated real-time on the basis of the model reference adaptive system (MRAS) theory. Next, a linear model-following controller (LMFC) is designed according to the estimated plant model to allow the state responses of the plant to follow the reference model. Then an augmented signal generated from the proposed neural network controller, whose connective weights are trained on-line according to the model-following error of the states, is added to the LMFC system to preserve a favorable model-following characteristic under various operating conditions.

Original languageEnglish
Pages (from-to)224-234
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume34
Issue number1
DOIs
StatePublished - 1998

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