Performance Analysis of Particle Swarm Optimization (PSO) Tuned Smith Predictor Based Fractional Order PID Controller in Temperature Control of Electric Furnace

Abstract

The electrical furnace is a system that generates heat using electrical energy. By heating solid materials below their melting points, it is possible to shape the items into the required forms. Electric furnaces can be categorized as electric resistance furnaces, electric induction furnaces, and many other types depending on how the electrical energy is converted into heat. Electric furnaces are used in industries to braze, anneal, carburize, forge, galvanize, melt, harden, enamel, and temper metals, including copper, steel, iron, and magnesium alloys. Due to its simplicity in structure and design and ease of use, PID (Proportional + Integral + Derivative) controllers are often used in industries for temperature control. The choosing of values for the gain parameters is a challenging and time-consuming operation, whereas controlling using PID controller. Large peak overshoot and settling time is a frequent feature of PID controller responses