Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System

S. M. Khazraee; A. H. Jahanmiri

doi:10.1016/S1004-9541(10)60278-9

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Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System

Updated：2026-01-06

- Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System
- Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System
- 中国化学工程学报（英文版） 2010年18卷第4期页码：703-710
- Affiliations：
  
  School of Chemical and Petroleum Engineering, Shiraz University, Shiraz,Iran,71345
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(10)60278-9
  中图分类号：
- 纸质出版：2010
- Accepted：
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S. M. Khazraee, A. H. Jahanmiri. Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System[J]. 中国化学工程学报（英文版）, 2010,18(4):703-710.

S. M. Khazraee, A. H. Jahanmiri. Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System[J]. , 2010, 18(4): 703-710.
S. M. Khazraee, A. H. Jahanmiri. Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System[J]. 中国化学工程学报（英文版）, 2010,18(4):703-710. DOI： 10.1016/S1004-9541(10)60278-9.

S. M. Khazraee, A. H. Jahanmiri. Composition Estimation of Reactive Batch Distillation by Using Adaptive Neuro-Fuzzy Inference System[J]. , 2010, 18(4): 703-710. DOI： 10.1016/S1004-9541(10)60278-9.

摘要

Abstract

Composition estimation plays very important role in plant operation and control.Extended Kalman filter(EKF) is one of the most common estimators

which has been used in composition estimation of reactive batch distillation

but its performance is heavily dependent on the thermodynamic modeling of vapor-liquid equilibrium

which is difficult to initialize and tune.In this paper an inferential state estimation scheme based on adaptive neuro-fuzzy inference system(ANFIS)

which is a model base estimator

is employed for composition estimation by using temperature measurements in multicomponent reactive batch distillation.The state estimator is supported by data from a complete dynamic model that includes component and energy balance equations accompanied with thermodynamic relations and reaction kinetics.The mathematical model is verified by pilot plant data.The simulation results show that the ANFIS estimator provides reliable and accurate estimation for component concentrations in reactive batch distillation.The estimated states form a basis for improving the performance of reactive batch distillation either through decision making of an operator or through an automatic closed-loop control scheme.

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