Design and implementation of a parallel identification system for adaptive control of an AC induction motor

Author

Tsai, Ming-Fa ; Tzou, Ying-Yu

Author_Institution

Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

1992

fDate

9-13 Nov 1992

Firstpage

1282

Abstract

The authors present the design and implementation of a real-time identification system for the adaptive control of an AC induction servo motor using the parallel processing technique. A parallelization scheme of the recursive least-squares algorithm has been proposed for the online identification of the approximated linear model of a decoupled induction servo drive. A dual-transputer-based real-time identification and control system has been constructed. The parameter identification and vector control of an AC induction servo motor can be accomplished within 1 ms. Experimental results are presented and verified

Keywords

adaptive control; induction motors; least squares approximations; machine control; parallel processing; parameter estimation; power engineering computing; servomotors; AC induction motor; adaptive control; approximated linear model; control system; decoupled induction servo drive; dual-transputer-based real-time identification; online identification; parallel identification system; parallel processing technique; recursive least-squares algorithm; servo motor; vector control; AC motors; Adaptive control; Control systems; Induction motors; Linear approximation; Parallel processing; Parameter estimation; Real time systems; Servomechanisms; Servomotors;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0582-5

Type

conf

DOI

10.1109/IECON.1992.254419

Filename

254419