Resistance Furnace Temperature Control System Based On Improved Immune Algorithm

As heating equipment, resistance furnace is widely used in heat treatment process,its performance is the key factors of influencing the production efficiency, productquality and energy consumption. Due to the characteristics of resistance furnacetemperature object, such as nonlinear, big delay, time-varying and it is very difficult toestablish accurate mathematical model, we can’t obtain the satisfied result with theconventional PID control method. Therefore, it is very valuable to design the newtemperature control system which has the ability of accurately control resistancefurnace.Based on the in-depth analysis on the heater features of resistance furnace and theadvanced PID control technology, with artificial immune algorithm as the main, thepaper introduces niche mechanism and chaotic local search mechanism, and thenproposes an intelligent resistance furnace temperature control method which is basedon the niche chaos immune algorithm. The method can realize the online optimizationof PID parameter, and accurately control resistance furnace temperature. To validatethe effectiveness of the method, the paper has conducted the simulation test onMATLAB software, and compared with various control methods. The simulationresults show that niche chaos immune algorithm can obtain a group appropriated PIDparameter in a relatively short time.The subject designs an intelligent resistance furnace temperature control systembased on the hardware platform of STC Single-Chip Microcomputer and the controlmethod mentioned above. The system hardware structure, software design and relatedinterface circuits have been introduced detailedly in this paper. In the system designprocess, the system reliability and stability has been fully considered. The method is feasible and the expected goal has been achieved.