Estimation of the electrical parameters of an induction motor with the TLS EXIN neuron

Abstract

This paper presents the solution for the on-line identification of an induction motor by using the total least-squares (TLS) algorithm. In particular the TLS EXIN neuron has been employed as it is the only algorithm which solves for the TLS problem in a simple recursive way. The results thus obtained are compared with those obtained with an OLS (ordinary least-square) algorithm to show the substantial equivalence of the two techniques if no noise is present in the measurements. This is the first step for facing up to the estimation of electrical parameters of induction machines in noisy environments (EMC problems), for example in industrial environments.