Resistance heating furnace temperature control system for optimizing PID parameters based on particle swarm optimization

A resistance heating furnace temperature control system for optimizing PID parameters based on particle swarm optimization is characterized in that a particle swarm optimization unit, a fuzzy control system and a PID control system unit are sequentially connected in series to form a closed-loop temperature intelligent control system for fuzzy PID control based on particle swarm optimization; the deviation between the target temperature value and the actually measured temperature value and the deviation change rate are processed by a fuzzy PID temperature controller to obtain corresponding parameter control quantity; pID parameters of the fuzzy PID temperature controller are optimized and adjusted through the particle swarm optimization; the particle swarm optimization algorithm is used for optimizing PID parameters to achieve high precision and low time delay of furnace temperature control, meanwhile, the particle swarm optimization algorithm with inertia weight is adopted for improving the global and local s