Parameter identification of a mathematical model of induction motors via least squares techniques

This paper deals with off-line identification of electrical and mechanical parameters of induction motors, using least square techniques. Two stator currents, three stator voltages and speed are acquired during an experimental test consisting of a start transient up to steady state and a stop transient from steady state to standstill. For identification, the acquired signals and their derivatives are filtered by means of digital anti-causal filters. The input-output behaviour obtained by means of simulation using the mathematical model with estimated parameters is compared with that detected experimentally with the aim of showing the validity of the approach described.