Title :
Feasibility of fuzzy-logic based systems on IM torque estimation
Author :
Barrero, F. ; Galván, E. ; Torralba, A. ; Franquelo, L.G.
Author_Institution :
Dpto. de Ingenieria Electronica, Escuela Superior de Ingenieros de Sevilla, Seville, Spain
Abstract :
This paper presents a new method for online torque estimation of an induction motor (IM). 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 IM, 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 :
fuzzy logic; induction motor drives; power system analysis computing; power system parameter estimation; signal processing; torque; digital signal processor; fuzzy logic-based system; induction motor; online torque estimation; rotor flux stationary components; rotor-flux-oriented vector-controlled drive; simulator; stator current stationary components; stator winding temperature; Current measurement; Digital signal processors; Fuzzy logic; Fuzzy systems; Induction motors; Q measurement; Rotors; Stator windings; Temperature measurement; Torque;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972245
