Novel fuzzy-logic based torque estimator

Author

Barrero, F. ; Galván, E. ; Torralba, A. ; Franquelo, L.G.

Author_Institution

Dept. de Ingenieria Electron., Escuela Superior de Ingenieros de Seville, Spain

Volume

3

fYear

1999

fDate

1999

Firstpage

1259

Abstract

This paper presents a new method for online torque estimation of an induction motor. It uses a fuzzy logic based system with five inputs: the measured stator winding temperature; the measured stationary d and q components of the stator current; and the estimated stationary d and q components of the rotor flux. The estimator has been trained using a simulator of an induction motor and then, implemented on a digital signal processor. Experimental results obtained with a rotor-flux-oriented vector-controlled 10 hp drive show good agreement between estimated and real torque

Keywords

control system synthesis; fuzzy control; induction motors; machine testing; machine theory; machine vector control; parameter estimation; rotors; stators; torque control; 10 hp; control design; control performance; control simulation; digital signal processor; fuzzy logic; induction motor; online torque estimation; rotor flux; rotor-flux-oriented vector control; stationary d components; stationary q components; stator current; stator winding temperature; Current measurement; Fuzzy logic; Fuzzy systems; Induction motors; Neural networks; Parameter estimation; Q measurement; Stators; Temperature control; Torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE

Conference_Location

San Jose, CA

Print_ISBN

0-7803-5735-3

Type

conf

DOI

10.1109/IECON.1999.819392

Filename

819392