Industrial Heating Furnace Temperature Control System Design Through Fuzzy-PidController

The industrial heating furnace (IHF) is a system that requires continuous monitoring and control over the temperature. A small deviation in the temperature may create a huge impact on the system. So, there is a need for proper control for IHF. The conventional way is using PID (Proportion + Integral + Derivative) controller as the process controller in industries. Many standard tuning algorithms are present to compute gain values for the PID controller. The drawback of these conventional controllers is poor disturbance rejection as these are tuned offline to the system so that they cannot address the disturbances that occur while the system is working. So, there is a need for an artificial intelligent controller that can rectify the disturbance that occurs while the system is running. This can be achieved by using Fuzzy logic based controller that feeds the gain values externally to the PID controller according to the disturbance. The entire system design is simulated with the help of MATLAB/Simulink software. The outcome depicts that the proposed fuzzy-based controller has the best dynamic performance, rapidity, and good robustness.