شماره ركورد كنفرانس :
4046
عنوان مقاله :
Prediction of Benzene concentration in a typical distillation column using a modified Fuzzy System
عنوان به زبان ديگر :
Prediction of Benzene concentration in a typical distillation column using a modified Fuzzy System
پديدآورندگان :
Ghnaaati Babak babak_qanaati@yahoo.com Ahwaz, Petroleum University of Technology , Shahbazian Mehdi shahbazian@put.ac.ir Ahwaz, Petroleum University of Technology
كليدواژه :
distillation column , chemical process , concentration , Benzene , fuzzy system
عنوان كنفرانس :
چهارمين كنفرانس بين المللي نوآوري هاي اخير در شيمي و مهندسي شيمي
چكيده فارسي :
One of the most important and common unit operations in the chemical and petroleum industry is distillation column. Benzene concentration in the bottom product of distillation column is the desired variable to be predicted. The objective of this paper is to design an inferential sensor for estimation of Benzene concentration in a distillation column. It is shown that the modified fuzzy system can predict the concentration more accurate in comparison with conventional fuzzy system. The fuzzy system that is employed for prediction is Takagi-Sugeno-Kang fuzzy system and the optimization algorithm used for modification is particle swarm optimization.
چكيده لاتين :
One of the most important and common unit operations in the chemical and petroleum industry is distillation column. Benzene concentration in the bottom product of distillation column is the desired variable to be predicted. The objective of this paper is to design an inferential sensor for estimation of Benzene concentration in a distillation column. It is shown that the modified fuzzy system can predict the concentration more accurate in comparison with conventional fuzzy system. The fuzzy system that is employed for prediction is Takagi-Sugeno-Kang fuzzy system and the optimization algorithm used for modification is particle swarm optimization.
