Hybrid Intelligent Forecasting Method of the Laminar Cooling Process for Hot Strip
Jinxiang Pian, Tianyou Chai, Hong Wang, Chun‐Yi Su · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 2007
To overcome the difficulties of frequently varying operating conditions of laminar cooling processes and of measuring the strip temperature in the cooling process online, a hybrid intelligent forecasting approach of the strip temperature was developed, which combines mathematic and hybrid intelligent methods. The proposed approach is based on the hybrid multi-intelligence technology, where the RBF neural networks, CBR and fuzzy logic reasoning have been used to obtain the parameter estimates, with which a desired prediction on the coiling temperatures has been obtained together with the cooling temperature curve in the cooling process. A number of tests using industrial data have been conducted where desired numerical results have been obtained. It has been shown that the proposed algorithm has a high potential of being used to realize an effective control of the whole process.