Edge optimisation for parameter identification of induction motors

In this work, a simple off-line identification algorithm for an induction motor (IM) is presented, which is based on an optimisation scheme without derivatives, called edge optimisation. The main idea of this identification scheme is to convert the problem of parameters characterisation to a finite-dimensional optimisation problem over a bounded set. The proposed approach relies on the information of a hard or soft startup of the motor, in order to identify all seven IM parameters: stator and rotor leakage inductances, stator and rotor resistances, mutual inductance, mechanical inertia and friction coefficient. Thus, the edge optimisation considers an iterative approximation in order to obtain a convergent sequence to the optimal parameters. This strategy is compared with an stochastic search algorithm and particle filter optimisation. Experimental results on a 1 and 3 HP IM test-rigs show an accurate characterisation with the proposed identification scheme, and validate the approach illustrated in this work.