An Impedance control approch of Ultra High Power Electric Arc Furnace

TL;DR

This paper presents an intelligent electrode position control method for Ultra High Power Electric Arc Furnaces using nonlinear scaling and fuzzy self-tuning PID, optimized by genetic algorithms, verified through field tests.

Contribution

It introduces a novel control approach combining nonlinear scaling and fuzzy self-tuning PID with genetic algorithm optimization for UHP electric arc furnaces.

Findings

Effective electrode control achieved in field tests.

Improved response and stability of the furnace control system.

Validation of the proposed method's practicality and robustness.

Abstract

An approach is proposed to design the intelligent electrode position controller for UHP by using nonlinear scaling and fuzzy self tuning PID control algorithm. First, nonlinear scaling of controlled variable that compensate the nonlinearity of the object is proposed. Second, a fuzzy self tuning PID electrode position control algorithm is designed and the parameters of the fuzzy inference are optimized by using GA (Genetic Algorithm). Finally, the effectiveness of the proposed approach is verified by field test.