Review on Design, Optimization and Control of Crude Oil Distillation |
Author(s): |
| Gourav Gagan , Dr.Ambedkar Institute of Technology for Handicapped Kanpur (U.P) 208024; Rajesh Chauhan, Dr.Ambedkar Institute of Technology for Handicapped Kanpur (U.P) 208024; Prashant Kumar, Dr.Ambedkar Institute of Technology for Handicapped Kanpur (U.P) 208024; Subhash Sharma , Dr.Ambedkar Institute of Technology for Handicapped Kanpur (U.P) 208024; Ashutosh Mishra, Dr.Ambedkar Institute of Technology for Handicapped Kanpur (U.P) 208024 |
Keywords: |
| Artificial Neural Network; Crude Oil Distillation Column; Genetic Algorithm Framework; Sigmoidal Transfer Function; Back-Propagation Algorithm |
Abstract |
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This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) framework were chosen as the best methodologies for design, optimization and control of crude oil distillation column. It was discovered that many past researchers used rigorous simulations which led to convergence problems that were time consuming. The use of dynamic mathematical models was also challenging as these models were also time dependent. The proposed methodologies use back-propagation algorithm to replace the convergence problem using error minimal method. |
Other Details |
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Paper ID: IJSRDV7I30154 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 1127-1129 |
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