Research of furnace temperature optimization control method in hot rolling process

摘要：

　　To effectively solve the problems of high energy consumption,low control accuracy and time control-delay for furnace,this paper proposes the intelligent control strategies based on the process feature of walking beam furnace,namely fuzzy-RBF network self-learning and self-optimizing function,which is combined with dynamic PID feedback compensation strategy.The experiment shows that the system not only guarantees the furnace temperature control accuracy and increases the temperature up and down rate under working condition fluctuation,which reduces unit fuel consumption,unit electricity consumption and billet burning loss,but also improves the furnace production capacity.

关键词： fuzzy-RBF furnace hot rolling process dynamic PID feedback

作者: Xu Junyan Bu Jianrong

作者单位: Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, 312000

会议类型: 国际会议

会议名称: the 2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology (第一届制造科学与检测技术国际会议(ICFMM2011))

会议地点: 重庆

会议语种:英文

页码: 7-11

在线出版日期: 2011-06-23（万方平台首次上网日期，不代表论文的发表时间）