Smith Predictor Implementation of a High Dead Time Interacting Tank Process

S. Meenatchi Sundaram, P. R. Venkateswaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Model based control algorithms are implemented when traditional control algorithms are inappropriate and fails to produce effective results. Smith predictor is an effective control structure to control process with high dead time. In this work, real time Smith Predictor algorithm is implemented to control a high dead time interacting tank process using LabVIEW. It requires a good knowledge about the process to extract the mathematical model. The model requires to capture the entire dynamics of the process so as to make the control algorithm more effective. In this work, open loop analysis is carried out to understand the dynamics of the plant and the model is extracted using empirical method. A first order plus dead time model (FOPDT) is considered and Smith Predictor structure is implemented to control the process. It is observed that the traditional PID control produces a sustained oscillation because of high dead time and Smith Predictor based control for the same PID parameters produces an effective control of the process.

Original languageEnglish
Title of host publication2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1386-1390
Number of pages5
ISBN (Electronic)9781538659946
DOIs
Publication statusPublished - 07-2018
Event2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018 - Bhubaneswar, India
Duration: 27-07-201828-07-2018

Publication series

Name2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018

Conference

Conference2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018
CountryIndia
CityBhubaneswar
Period27-07-1828-07-18

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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