Control design of electric arc furnace electrode regulation system

Abstract

As a complex non-linear model, if the arc furnace electrode regulator is not well controlled, it will consume a lot of power and time. In order to control the electrode adjustment system more accurately and quickly, a genetic fuzzy logic controller(GFLC) algorithm is proposed. A new coding method is adopted to adjust the membership functions and logic rules, which overcomes many problems of uncontrollable nonlinear systems and reduces the influence of errors caused by complex systems. Through training and verification, the genetic fuzzy logic controller can adjust the control parameters in real time. Compared with the traditional PID control method, the GFLC control electrode adjustment is faster and more accurate.

Keywords

• electric arc furnace
• electrode regulation system
• genetic algorithm
• genetic fuzzy logic controller(gflc)