Constrained entropy-based temperature control of waste heat systems

Jianhua Zhang; Mifeng Ren; Hong Yue

doi:10.1109/WCICA.2016.7578809

Constrained entropy-based temperature control of waste heat systems

Jianhua Zhang, Mifeng Ren, Hong Yue

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

39 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 language	English
Title of host publication	2016 12th World Congress on Intelligent Control and Automation (WCICA)
Publisher	IEEE
Pages	1992-1998
Number of pages	7
ISBN (Print)	978-1-4673-8414-8
DOIs	https://doi.org/10.1109/WCICA.2016.7578809
Publication status	Published - 1 Jun 2016
Event	The 12th World Congress on Intelligent Control and Automation (WCICA 2016) - Guilin, China Duration: 12 Jun 2016 → 15 Jun 2016

Conference

Conference	The 12th World Congress on Intelligent Control and Automation (WCICA 2016)
Country	China
City	Guilin
Period	12/06/16 → 15/06/16

Keywords

entropy
vapour
waste heat recovery
organic Rankine cycles

Access to Document

10.1109/WCICA.2016.7578809

Zhang-etal-WCICA2016-Constrained-entropy-based-temperature-control-of-waste-heat-systemsAccepted author manuscript, 433 KB

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Cite this

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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.",

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