Genetic Algorithm Based Computer Control System for Reheating Furnace Combustion

Aiming at the intelligent control for reheating furnace combustion, a kind of genetic algorithm-based intelligent control method is presented. The performance index of the controller is a function that consists of error, output, rising tune and overshooting of the system. A group of optimum intelligent control parameters are acquired with the aid of global search ability on line based on real time error. Application results show that the combustion control system has good dynamic and static performances, adaptive capability and robustness.