Optimal Calculation of Induction Heater Capacitance with Developed Bacteria Foraging Algorithm

Emanian, Amin; Daryabeigi, Ehsan; Asadi Zeidabadi, Morteza

Document Type : Review Article

Authors

¹ Islamic Azad university, tiran branch

² Tehran Electrical Distribution Company (TEDC)

Abstract

In designing 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, heating efficiency and power factor. In this paper, with consideration to function of the equivalent series resistance (ESR), optimal capacitance is calculated. The induction heating resonance capacitor is achieved using Smart Bacteria Foraging Algorithm (SBFA) under voltage and frequency constraints for minimizing cost function that is including: increasing the output power and efficiency of an induction heater, while decreasing the power loss of the capacitor. The proposed algorithm mimics chemotactic behavior of E.Coli bacteria to optimize parameters. The proposed algorithm enjoys individual and social intelligence, so that it can search influx ways among hidden layers of the problem. 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, also improving the obtained results using SBFA are compared to classical bacteria foraging algorithm BFA.

Keywords

References

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Majlesi Journal of Electrical Engineering

Optimal Calculation of Induction Heater Capacitance with Developed Bacteria Foraging Algorithm

References

References

Volume 6, Issue 4 - Serial Number 4
November 2012

Optimal Calculation of Induction Heater Capacitance with Developed Bacteria Foraging Algorithm

References

References

Volume 6, Issue 4 - Serial Number 4November 2012

Volume 6, Issue 4 - Serial Number 4
November 2012