An Improved Power Control Strategy for Induction Heating Power Supply Based on PSO Algorithm

The traditional PI control suffers from the problems of difficult parameter rectification and poor dynamic performance, which cannot meet the power control requirements of modern high-frequency induction heating power supply. By improving the inertia weight coefficients and learning factors of the traditional particle swarm optimization (PSO) algorithm and combining them with the immune algorithm, a PI control strategy based on the improved immune PSO algorithm is proposed, which effectively avoids the problems of the traditional PSO algorithm, such as the algorithm being prone to premature maturity, poor global search capability and low efficiency of the optimization search. Simulation and experimental results show that, based on this control strategy, the optimal parameter adjustment of the PI controller has a faster response speed and can improve the dynamic and static performance of the power regulation of high-frequency induction heating power supplies.