This paper proposes leveraging an intelligent control strategy for controlling the power of industrial induction heating systems with series resonant inverters. Brain emotional learning based intelligent controller (BELBIC) is the proposed intelligent controller. It is based on the model of amygdala-orbitofrontal system of mammalians, which is a region in brain responsible for emotional learning process. The paper also compares the performance of BELBIC with that of the conventional PID controller for induction heating systems to illustrate the performance of this control strategy. System modeling and controller simulation have been accomplished through MATLAB/ SIMULINK.

Keywords: Amygdala, Brain emotional learning based intelligent controller (BELBIC), Cognitive, Full bridge resonant inverter, Proportional-integral-derivative (PID), Induction heating, Zero-voltage-switching (ZVS)