Design of an Intelligent Temperature Controller of Furnace System using the Fuzzy Self-tuning PID Controller

Temperature control system plays an essential role to increase the percentage of industrial products. Its energy efficiency is the reason behind its popularity. Intelligent temperature control processes are used for heating purposes in industrial equipment as its disqualified materials when it is not well performed physically. To keep track of this process, fuzzy logic controller and proportional integral derivative are the most effective approaches. In this paper, the authors are proposing a Fuzzy Logic Control system-based new model for controlling the temperature of a furnace system. Authors utilize FLC instead of proportional integral derivative (PID) because of the lack of considerate temperature governance process as well as its parametric reform complication. Authors work for reducing percentage overshoot, rise time, and settling time by designing new membership function and rules declaration. This proposed model is capable of providing more accurate results with robustness performance and high stability compared with conventional PID controllers. Performance of this method was measured with the help of percentage overshoot, faster response time, settling time, steady-state error. This proposed model shows that the fuzzy self-tuning PID controller is more effective and appropriate for the industries of the furnace system.