Parameter Identification Method for a Three-Phase Induction Heating System

Abstract

This paper describes a new method for the on-line parameter estimation of an induction heating system. Simulations and experiments are presented in order to measure its impedance matrix for more exact control in closed loop. In previous papers, various parameter identification methods including off-line methods were introduced and compared for current inverters. It has been demonstrated that parameter identification is necessary to achieve good control of the inductor currents. A "pseudo-energy" method for a simple and fast implementation is compared to a classical "V/I with phase shift" method. They are experienced on a reduced power 3-phase coupled resonant system supplied with voltage inverters with satisfying results.

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances

“…Most of the previously proposed techniques are aimed at obtaining the equivalent electrical parameters of the load. In [10], a high-performance hardware is proposed for on-line identification, whereas in [14] and [15] particle swarm optimization and the pseudo energy method are employed, respectively, to achieve off-line identifications. However, all these methods are only valid for off-line calculation.…”