Ethylene Pyrolysis Furnace Process Modeling And Optimization

Complex industrial process modeling is one of the hotest research points in process control fields, and also the hardest work to apply control theory to the industrial process of realities. Cracking furnace is the key factor of ethylene productions. Its stability, safty and effectiveness will heavily affect the whole process. Therefore, application of APC (Advanced Process Control) and Operation Optimization to cracking furnace has great theorial and practical significances.This paper starts from analyzing the internal machinism of chemical process and proceeds with studies of how to apply Input Training Neural Network and RBF Neural Network to model the complex process of pyrolysis. Adaptive adjusted momentum factor and learn rate are added to the learn algorithm to approve the performance and help accelerate the convergence of training Neural Networks. Data from mechanical models computing and fields sampling are gathered to generate training samples with good orthogonality and wide ranges, which can improve the generality and reliability of models.This paper also studies how to process operation optimization of...