Predictive Control of Arc Furnace Based on Genetic Algorithm

摘要：

　　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.

关键词： genetic algorithm predictive control robust arc furnace

作者: GUAN Ping LIU Xiaohe GAO Yuezhao

作者单位: School of Automation,Beijing Information Science and Technology University,Beijing 100192

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3385-3390

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）