Particle Swarm Optimization and Finite-Element Based Approach for Induction Heating Cooker Design

In this paper a novel approach for induction heating (IH) design is presented. The powerful particle swarm optimization (PSO) and finite-element method (FEM) are combined together to allow optimal induction heating design. For this purpose cost function is defined as linear combination of leakage flux and electromagnetic forces of induction heating winding. Then using finite-element method, electromagnetic forces and leakage flux is calculated in typically induction heating cooker in both cases: conventional and optimized characteristics of induction heating. The feasibility of the proposed method is demonstrated and compared using inertia weights approach (IWA) and constriction factor approach (CFA) of particle swarm optimization. Obtained results show 42% reduction in leakage flux and 36% reduction in electromagnetic forces for optimal IH