Predictive control of arc furnace based on genetic algorithm

The predictive control based on genetic algorithm is applied to the electrode regulator systems of industrial arc furnace, and the detailed design procedure of the dynamic matrix controller is presented. The predictive control model of the industrial arc furnace is designed. The optimal control law of the electrode regulator systems of arc furnace is obtained by rolling optimization. The feedback compensation is adopted to diminish the predictive error, so as to obtain the desired output of the system. The genetic algorithm is used to optimize the controller parameters. The results of simulation show that the proposed algorithm can significantly improve the dynamic performance of the system and the robustness of the system is enhanced.