Classical and Neural Network-Based Approach of Model Predictive Control for Binary Continuous Distillation Column

Singh, Amit Kumar; Tyagi, Barjeev; Kumar, Vishal
June 2014
Chemical Product & Process Modeling;Jun2014, Vol. 9 Issue 1, p71
Academic Journal
No abstract available.


Related Articles

  • Application of Feed Forward and Recurrent Neural Network Topologies for the Modeling and Identification of Binary Distillation Column. Singh, Amit Kumar; Tyagi, Barjeev; Kumar, Vishal // IETE Journal of Research;Mar/Apr2013, Vol. 59 Issue 2, p167 

    This paper presents identification of artificial neural network model of a Binary Distillation Column (BDC). In this paper, the two most common topologies of artificial neural networks in the area of control are introduced: Feed forward neural network and recurrent neural networks. The training...

  • Neural-network-based composite disturbance rejection control for a distillation column. Li, Juan; Li, Shihua; Li, Shengquan; Chen, Xisong; Yang, Jun // Transactions of the Institute of Measurement & Control;Oct2015, Vol. 37 Issue 9, p1146 

    Binary distillation columns are essentially multi-variable systems with couplings, non-minimum phase characteristics, model mismatches and various external disturbances. To get the desired top (distillate) and bottom product composition, a composite disturbance rejection control strategy using a...

  • Neuro-fuzzy control design of processes in chemical technologies. Blahová, Lenka; Dvoran, Ján; KmeŤová, Jana // Archives of Control Sciences;Jun2012, Vol. 22 Issue 2, p233 

    The paper presents design of neuro-fuzzy control and its application in chemical technologies. Our approach to neuro-fuzzy control is a combination of the neural predictive controller and the neuro-fuzzy controller (Adaptive Network-based Fuzzy Inference System - ANFIS). These controllers work...

  • Distillation column control design using steady state models: Usefulness and limitations. Fruehauf, Paul S.; Mahoney, Donald P. // Chemical Business;Nov2007, Vol. 21 Issue 11, p42 

    Steady state models continue to be powerful and efficient tools for designing control systems for distillation columns. This paper presents a control design procedure and an example application of this technique to an actual column.

  • Control of reflux and reboil flow rates for milli and micro distillation. Sundberg, Aarne T.; Uusi-Kyyny, Petri; Jakobsson, Kaj; Alopaeus, Ville // Chemical Engineering Research & Design: Transactions of the Inst;Jun2013, Vol. 91 Issue 5, p753 

    An accurate control of reflux and reboil flow rates for small scale distillation unit has been evaluated. Its feasibility was studied with a distillation column with good results. The distillation column was planar in shape, and it was operated in a horizontal orientation. Porous, open-cell...

  • APPLICATION OF THE NEURAL NETWORK-BASED MODEL PREDICTIVE CONTROLLERS IN NONLINEAR INDUSTRIAL SYSTEMS. CASE STUDY. ZareNezhad, Bahman; Aminian, Ali // Journal of the University of Chemical Technology & Metallurgy;Mar2011, Vol. 46 Issue 1, p67 

    A neural network-based model predictive control (NNMPC) strategy has been used to control a number of important nonlinear industrial systems. The performance of the constructed controller is evaluated by applying to nonlinear single input-single output (SISO) control of a continuous stirred tank...

  • The nonlinear model-predictive control of a chemical plant using multiple neural networks. Jazayeri-Rad, H. // Neural Computing & Applications;2004, Vol. 13 Issue 1, p2 

    A combination of multiple neural networks (NNs) is selected and used to model nonlinear multi-input multi-output (MIMO) processes with time delays. An optimisation procedure for a nonlinear model-predictive control (MPC) algorithm based on this model is then developed. The proposed scheme has...

  • Adaptive neural fuzzy inference systems for the daily flow forecast in Algerian coastal basins. Zakhrouf, Moussaab; Chettih, Mohamed; Mesbah, Mohamed // Desalination & Water Treatment;Feb2014, Vol. 52 Issue 10-12, p2131 

    Exceptional hydrological events represent one of the most important natural risks which are responsible for the loss of human lives and material goods. During recent decades, many automated or computerized approaches have been implemented to model this process. However, the complexity of...

  • Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model. Ramesh, K.; Hisyam, A.; Aziz, N.; Shukor, S. R. Abd // Engineering Letters;2012, Vol. 20 Issue 4, p330 

    Distillation columns are fairly complex multivariable systems and needs to be controlled close to optimum operating conditions because of economic incentives. Nonlinear Model Predictive Control (NMPC) scheme is one of the best options to be explored for proper control of distillation columns. In...

  • Comparison between the design of experiments and simulation in the three-phase distillation in a sieve tray column for glycerine dehydration. Gutiérrez-Oppe, Evelyn Edith; Salvagnini, Wilson Miguel; Santos Taqueda, Maria Elena // Chemical Engineering Research & Design: Transactions of the Inst;Jul2013, Vol. 91 Issue 7, p1186 

    Design of experiments (DOE) is a value scientific approach used to understand the processes in a better way and to determine how the inputs affect the response(s). In this work, this method has been applied to study the behavior of the three-phase distillation in a sieve tray column, through the...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics