自动化学报2012，Vol.38Issue(11)：1861-1869,9.DOI:10.3724/SP.J.1004.2012.01861
规则与数据驱动的层流冷却过程带钢卷取温度模型
Rule and Data Driven Strip Coiling Temperature Model in Laminar Cooling Process
摘要
Abstract
The existing cooling process models lack the methods to compute the heat transfer parameter and the position that strip reaches and cannot be used to compute the strip coiling temperature directly. So a strip coiling temperature model is proposed, which consists of the status of cooling unit valves calculating model, the strip segment tracking model, and the top surface temperature model under different heat transfer conditions. What is more, a rule and data driven hybrid intelligent identification algorithm is developed combining the case-based reasoning, rule-reasoning with the neural network. The tests using real industrial data of a steel plant have been conducted and indicated that the proposed strip coiling temperature model has made a great contribution to the prediction precision of the strip coiling temperature during the laminar cooling process.关键词
层流冷却/参数辨识/规则驱动/数据驱动/卷取温度Key words
Laminar cooling/ parameter identification/ rule-driven/ data-driven/ coiling temperature引用本文复制引用
片锦香,柴天佑,李界家..规则与数据驱动的层流冷却过程带钢卷取温度模型[J].自动化学报,2012,38(11):1861-1869,9.基金项目
国家重点基础研究发展计划(973计划)(2009CB320601),国家自然科学基金(61104084),创新引智计划(111计划)(B08015),住建部科学技术计划项目(2012-K7-19)资助 （973计划）
