Control of supercritical organic Rankine cycle based waste heat recovery system using conventional and fuzzy self-tuned PID controllers

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dc.contributor.authorChowdhury, Jahedul Islam
dc.contributor.authorThornhill, David
dc.contributor.authorSoulatiantork, Payam
dc.contributor.authorHu, Yukun
dc.contributor.authorBalta-Ozkan, Nazmiye
dc.contributor.authorVarga, Liz
dc.contributor.authorNguyen, Bao Kha
dc.date.accessioned2019-08-27T15:50:46Z
dc.date.available2019-08-27T15:50:46Z
dc.date.issued2019-08-19
dc.description.abstractThis research develops a supercritical organic Rankine cycle (ORC) based waste heat recovery (WHR) system for control system simulation. In supercritical ORC-WHR systems, the evaporator is a main contributor to the thermal inertia of the system, which is greatly affected by transient heat sources during operation. In order to capture the thermal inertia of the system and reduce the computation time in the simulation process, a fuzzy-based dynamic evaporator model was developed and integrated with other component models to provide a complete dynamic ORC-WHR model. This paper presents two control strategies for the ORC-WHR system: evaporator temperature control and expander output control, and two control algorithms: a conventional PID controller and a fuzzy-based self-tuning PID controller. The performances of the proposed controllers are tested for set point tracking and disturbance rejection ability in the presence of steady and transient thermal input conditions. The robustness of the proposed controllers is investigated with respect to various operating conditions. The results show that the fuzzy self-tuning PID controller outperformed the conventional PID controller in terms of set point tracking and disturbance rejection ability at all conditions encountered in the paper.en_UK
dc.identifier.citationChowdhury JI, Thornhill D, Soulatiantork P, et al., Control of supercritical organic Rankine cycle based waste heat recovery system using conventional and fuzzy self-tuned PID controllers. International Journal of Control, Automation and Systems, Volume 17, Issue 11, November 2019, pp. 2969–2981en_UK
dc.identifier.issn1598-6446
dc.identifier.urihttps://doi.org/10.1007/s12555-018-0766-6
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14475
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectControl algorithmsen_UK
dc.subjectfuzzy logicen_UK
dc.subjectorganic Rankine cycleen_UK
dc.subjectPID controlleren_UK
dc.subjectsupercritical conditionen_UK
dc.subjectwaste heat recoveryen_UK
dc.titleControl of supercritical organic Rankine cycle based waste heat recovery system using conventional and fuzzy self-tuned PID controllersen_UK
dc.typeArticleen_UK

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