Atmospheric Distillation Unit Online Optimization And Control

The modeling , control and optimization of petrochemical processes is an important issue in the field of control theory and its applications . This paper presents the latent possibility of optimization, and proposes the scheme and the plan of process optimization, though analyzing the technological process of the crude atmospheric distillation tower in Karamay Petrochemical Complex .The main task of this paper is :1. We have collected the production operation date of the crude atmospheric distillation tower in Karamay Petrochemical Complex and established model of distillation end point and initial boiling point in the crude atmospheric distillation tower with methods of mathematical statistics .2. A new production quality estimation strategy is proposed by applying Radial basis Function (RBF) neural network . An on-line estimation model of the crude atmospheric distillation tower is established ?Simulation study shows that this model has the feature of high accuracy, and meet the industrial demand .3. The GPC algorithm are also put forward , the simulation results showed its good effect in process control.4. It also studies an optimum algorithm of overall situation that is called Genetic Algorithms (GAs), and presents an improved GAs algorithm . Based on crossover similarity, an adaptive genetic algorithm (AGA) is presented , in which the crossover probability, mutation probability and encoding length adjust to the crossover similarity adaptively . The new algorithm has already been successfully used to solve nonlinear optimization problems of crude distillation processes . The application of AGA in operation optimization of the crude distillation processes is satisfied .