Parameters estimation of induction motor using subspace methods

Abstract

Parameter and speed estimation in induction motors is a research topic of wide interest. Good estimates of electrical parameters and motor speed are required for designing and tuning controllers of motor drive systems. This paper compares the efficiency of different parameter estimation techniques for characterizing an induction motor supplied by a voltage source inverter. Two of the techniques belong to the so called subspace identification method to estimate linear state space models and the other, is a standard prediction error method. The comparison is based on the experimental data acquired from a laboratory prototype microcomputer-based induction motor drive system.