• DocumentCode
    2898836
  • Title

    Decentralized controller analysis and design for multi-evaporator vapor compression systems

  • Author

    Koeln, Justin P. ; Alleyne, Andrew G.

  • Author_Institution
    Mech. Sci. & Eng. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    437
  • Lastpage
    442
  • Abstract
    The high degree of coupling in multi-evaporator vapor compression systems (ME-VCSs) makes independent control of the cooling capacity for each evaporator difficult. This paper examines the sources of coupling in these systems and the importance of this coupling when making control decisions. Structured singular value (SSV) analysis is used to quantify the degree of coupling in relation to the diagonal dominance of these systems. A 5-evaporator system model is used to demonstrate this analysis and shows that these systems are not diagonally dominant, suggesting poor decentralized control performance when individually controlling both cooling capacity and superheat. However, SSV analysis is used to show that decentralized control is capable of controlling cooling capacity if superheat is not included in the feedback. Both centralized and decentralized model predictive control (MPC) architectures were developed to verify the findings of the SSV analysis.
  • Keywords
    centralised control; compressors; control system analysis; control system synthesis; cooling; decentralised control; predictive control; singular value decomposition; 5-evaporator system model; ME-VCS; MPC; SSV analysis; centralized model predictive control architectures; decentralized controller analysis; decentralized controller design; decentralized model predictive control architectures; independent cooling capacity control; multievaporator vapor compression systems; structured singular value analysis; superheat control; Apertures; Couplings; Decentralized control; Mathematical model; Periodic structures; Refrigerants;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6579876
  • Filename
    6579876