A Fuzzy-PID Controller Combined with PSO Algorithm for the Resistance Furnace

Abstract

The paper presents a novel control strategy applying the particle swarm optimization (PSO) algorithm to optimize the scaling weights coefficients of the fuzzy-PID controller for the resistance furnace temperature control system, called PSO-based fuzzy-PID controller/ algorithm. The proposed PSO-based fuzzy-PID controller in this paper consist of the fuzzy-PID controller and the PSO algorithm. The proposed fuzzy-PID controller is combination of the advantage of PID control and fuzzy logic control. Firstly, the paper presents the mathematical model of the resistance furnace by identification method, based on the experimental data. Then, the design of the fuzzy-PID controller is given in this study. And then, the paper presents the design of the temperature control board using PIC16f with the installed PSO-based fuzzy-PID algorithm. Finally, the simulation and experimental results proved the stability of the proposed PSO-based fuzzy-PID controller with the disturbance, improved the furnace temperature control quality, through obtained major control criteria, such as overshoot, steady-state error, settling time, rising time.

PID Controller Design for Heating Furnace Temperature Based on Bat Algorithm (BA)

“…Process control needs to be considered to produce products with high added value. The adjustment of process control parameters must be ensured to make the system performance meet the operating objectives [1][2]. Optimization is needed to produce good temperature control results because it offers more stable and efficient results compared to conventional controls.…”