Optimization of Resistance Furnace Temperature Control System
The resistance furnace is a device widely used in a variety of industrial and laboratory applications,which generates heat by heating metal resistance wires in the furnace with an electric current.Resistance stoves have the advantages of uniform heating,precise temperature control,high thermal efficiency and long service life,so they have been widely used in many fields.The temperature of resistance furnace is affected by many factors,including load change,environmental change and heat transfer characteristics,which greatly affect the rapid re-sponse and adjustment ability of the system.Temperature control of resistance furnace is a complicated process involving many aspects.Effi-cient,safe and stable operation of resistance furnaces can be achieved through proper target setting,effective control system,and appropriate temperature uniformity and overheating protection measures.It analyzes the problems existing in the traditional resistance furnace temperature control system,the significance of optimal control,the physical characteristics and temperature response of the resistance furnace,builds the temperature model of the resistance furnace,and proposes the temperature control optimization algorithm based on fuzzy adaptive PID algorithm to improve the actual working ability of the resistance furnace.