Title :
An optimal selection of induction heater capacitance by genetic algorithm considering dissipation loss caused by ESR
Author :
Daryabeigi, Ehsan ; Fard, Fahimeh Tahvili Pour ; Arab, G.
Author_Institution :
Islamic Azad Univ., Najafabad
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.
Keywords :
genetic algorithms; induction heating; switching convertors; Q-factor; dissipation loss; equivalent series resistance; genetic algorithm; induction heater capacitance optimal selection; inverter switching frequency; parallel resonant Induction heating system; power factor; resonant circuit; resonant frequency; Capacitance; Capacitors; Genetic algorithms; Heating; Paramagnetic resonance; Power generation; Q factor; RLC circuits; Reactive power; Resonant frequency; Switching frequency; capacitance; equivalent series resistance; genetic algorithm; induction heating;
Conference_Titel :
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
Conference_Location :
Brasov
Print_ISBN :
978-1-4244-1544-1
Electronic_ISBN :
978-1-4244-1545-8
DOI :
10.1109/OPTIM.2008.4602415
