Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process

Rajarshi Paul, Shreesha Chokkadi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this research, the authors present the tuning and implementation of the nonlinear moving average autoregressive-linearization level 2 (NARMA-L2) controller for a shell and tube heat exchanger (STHE) temperature process. A mathematical model of the process plant is considered for simulation, and the model is discretized for the controller operation. The NARMA-L2 controller computes a sequence of control variable (the cold water inflow rate) adjustments in order to optimize the future performance of STHE process. The selected controller is trained to provide a quick control over the process variable in the nominal operating range of STHE by selecting appropriate constraints for NARMA models. The paper compares the performance of the selected NARMA-L2 controller with that of a benchmark controller, and the comparative results are presented.

Original languageEnglish
Pages (from-to)5644-5653
Number of pages10
JournalIndustrial and Engineering Chemistry Research
Volume55
Issue number19
DOIs
Publication statusPublished - 18-05-2016

Fingerprint

Tubes (components)
Linearization
Controllers
Temperature
Tuning
Mathematical models
Water

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Cite this

@article{fcd7ead865344c4e8490bd761a1d2e96,
title = "Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process",
abstract = "In this research, the authors present the tuning and implementation of the nonlinear moving average autoregressive-linearization level 2 (NARMA-L2) controller for a shell and tube heat exchanger (STHE) temperature process. A mathematical model of the process plant is considered for simulation, and the model is discretized for the controller operation. The NARMA-L2 controller computes a sequence of control variable (the cold water inflow rate) adjustments in order to optimize the future performance of STHE process. The selected controller is trained to provide a quick control over the process variable in the nominal operating range of STHE by selecting appropriate constraints for NARMA models. The paper compares the performance of the selected NARMA-L2 controller with that of a benchmark controller, and the comparative results are presented.",
author = "Rajarshi Paul and Shreesha Chokkadi",
year = "2016",
month = "5",
day = "18",
doi = "10.1021/acs.iecr.5b03791",
language = "English",
volume = "55",
pages = "5644--5653",
journal = "Industrial & Engineering Chemistry Product Research and Development",
issn = "0888-5885",
publisher = "American Chemical Society",
number = "19",

}

Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process. / Paul, Rajarshi; Chokkadi, Shreesha.

In: Industrial and Engineering Chemistry Research, Vol. 55, No. 19, 18.05.2016, p. 5644-5653.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process

AU - Paul, Rajarshi

AU - Chokkadi, Shreesha

PY - 2016/5/18

Y1 - 2016/5/18

N2 - In this research, the authors present the tuning and implementation of the nonlinear moving average autoregressive-linearization level 2 (NARMA-L2) controller for a shell and tube heat exchanger (STHE) temperature process. A mathematical model of the process plant is considered for simulation, and the model is discretized for the controller operation. The NARMA-L2 controller computes a sequence of control variable (the cold water inflow rate) adjustments in order to optimize the future performance of STHE process. The selected controller is trained to provide a quick control over the process variable in the nominal operating range of STHE by selecting appropriate constraints for NARMA models. The paper compares the performance of the selected NARMA-L2 controller with that of a benchmark controller, and the comparative results are presented.

AB - In this research, the authors present the tuning and implementation of the nonlinear moving average autoregressive-linearization level 2 (NARMA-L2) controller for a shell and tube heat exchanger (STHE) temperature process. A mathematical model of the process plant is considered for simulation, and the model is discretized for the controller operation. The NARMA-L2 controller computes a sequence of control variable (the cold water inflow rate) adjustments in order to optimize the future performance of STHE process. The selected controller is trained to provide a quick control over the process variable in the nominal operating range of STHE by selecting appropriate constraints for NARMA models. The paper compares the performance of the selected NARMA-L2 controller with that of a benchmark controller, and the comparative results are presented.

UR - http://www.scopus.com/inward/record.url?scp=84970954352&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84970954352&partnerID=8YFLogxK

U2 - 10.1021/acs.iecr.5b03791

DO - 10.1021/acs.iecr.5b03791

M3 - Article

AN - SCOPUS:84970954352

VL - 55

SP - 5644

EP - 5653

JO - Industrial & Engineering Chemistry Product Research and Development

JF - Industrial & Engineering Chemistry Product Research and Development

SN - 0888-5885

IS - 19

ER -