An optimal selection of induction heater capacitance by genetic algorithm considering dissipation loss caused by ESR

Abstract

In design of a parallel resonant Induction heating system, choosing a proper capacitance for the resonant circuit is quite important. The capacitance affects the resonant frequency, output power, Q-factor, heating efficiency and power factor. In this paper, the role of equivalent series resistance (ESR) in the choice of capacitance is significantly recognized. Optimal value of the induction heating resonance capacitor is achieved by used genetic algorithm under voltage constraint for maximizing the output power of an induction heater, while minimizing the power loss of the capacitor and inverter switching frequency at the same time. Based on the equivalent circuit model of an induction heating system, the output power, and the capacitor losses are calculated. The effectiveness of the proposed method is verified by computer simulations.