Constrained entropy-based temperature control of waste heat systems

Jianhua Zhang, Mifeng Ren, Hong Yue

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

2 Citations (Scopus)
33 Downloads (Pure)

Abstract

A minimum error entropy controller is developed for superheated vapour temperature control of a waste heat recovery process using Organic Rankine cycles (ORC). A nonlinear dynamic model is briefed for the ORC evaporator to capture the key dynamic characteristics of the process. Considering non-Gaussian disturbance terms, the control objective is proposed to minimize the combined entropy function and the mean value of the squared tracking errors. The controller is designed by taking into account of bounded constraints on input actions. The improved performances of the proposed method in reducing control variation and decreasing tracking error uncertainty are discussed by a comparison with standard PID control through simulation study conducted on an ORC waste heat recovery process.
Original languageEnglish
Title of host publication2016 12th World Congress on Intelligent Control and Automation (WCICA)
PublisherIEEE
Pages1992-1998
Number of pages7
ISBN (Print)978-1-4673-8414-8
DOIs
Publication statusPublished - 1 Jun 2016
EventThe 12th World Congress on Intelligent Control and Automation (WCICA 2016) - Guilin, China
Duration: 12 Jun 201615 Jun 2016

Conference

ConferenceThe 12th World Congress on Intelligent Control and Automation (WCICA 2016)
CountryChina
CityGuilin
Period12/06/1615/06/16

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Keywords

  • entropy
  • vapour
  • waste heat recovery
  • organic Rankine cycles

Cite this

Zhang, J., Ren, M., & Yue, H. (2016). Constrained entropy-based temperature control of waste heat systems. In 2016 12th World Congress on Intelligent Control and Automation (WCICA) (pp. 1992-1998). IEEE. https://doi.org/10.1109/WCICA.2016.7578809