Title :
An Adaptive Method for Induction Motor Control
Author :
Stephan, Jennifer ; Bodson, Marc ; Chiasson, John
Author_Institution :
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
Abstract :
The paper addresses the problem of adapting model-based control laws for induction motors in the presence of uncertainty or parametric variation. A procedure is presented that can be used for the real-time estimation of the parameters and the rotor fluxes of induction motors. The estimation method is based on a standard model of the induction motor, expressed in rotor coordinates. It is assumed that current and position (or velocity) measurements are available. Experimental results are reported, and the ability of the algorithm to rapidly estimate the motor parameters is demonstrated. The results are validated using different experiments and compared with those obtained using a standard frequency response test at standstill.
Keywords :
Adaptive control; Current measurement; Frequency response; Induction motors; Parameter estimation; Position measurement; Programmable control; Rotors; Uncertainty; Velocity measurement;
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3