Decentralized feedback structures of a vapor compression cycle system

Neera Jain, Bin Li, Michael Keir, Brandon Hencey, Andrew Alleyne

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

In vapor compression cycle systems, it is desirable to effectively control the thermodynamic cycle by controlling the thermodynamic states of the refrigerant. By controlling the thermodynamic states with an inner loop, supervisory algorithms can manage critical functions and objectives such as maintaining superheat and maximizing the coefficient of performance. In practice, it is generally preferred to tune multiple single-input-single-output (SISO) control inner loops rather than a single multiple-input-multiple-output control inner loop. This paper presents a process by which a simplified feedback control structure, amenable to a decoupled SISO control loop design, may be identified. In particular, the many possible candidate input-output (I/O) pairs for decentralized control are sorted via a decoupling metric, called the relative gain array number. From a reduced set of promising candidate I/O pairs, engineering insight is applied to arrive at the most effective pairings successfully verified on an experimental air-conditioning-and-refrigeration test stand.

Original languageEnglish (US)
Article number4895680
Pages (from-to)185-193
Number of pages9
JournalIEEE Transactions on Control Systems Technology
Volume18
Issue number1
DOIs
StatePublished - Jan 2010
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received April 22, 2008. Manuscript received in final form November 26, 2008. First published April 28, 2009; current version published December 23, 2009. Recommended by Associate Editor S. Palanki. This work was supported in part by the sponsoring companies of the Air-Conditioning and Refrigeration Center at the University of Illinois at Urbana–Champaign and in part by Thermo King Corporation.

Keywords

  • Air conditioning
  • Decentralized
  • Decoupling
  • HVAC
  • Multivariable control
  • Refrigeration

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