• DocumentCode
    3582219
  • Title

    Application of T-S fuzzy controllers on an HVAC system

  • Author

    Long Teng ; Youyi Wang ; Can Chen ; Wenjian Cai ; Hua Li

  • Author_Institution
    Grad. Sch., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper focuses on designing fuzzy controllers for a kind of Heating, Ventilation, and Air Conditioning (HVAC) systems. A kind of fuzzy method based on T-S fuzzy models with nonlinear local feedbacks is applied to a specific HVAC system. Firstly, an augmented HVAC system model is got based on an existing model. Then control with T-S fuzzy systems with nonlinear local models is reviewed. The control gain is got by solving a set of linear matrix inequalities (LMIs) where H performance is considered. Finally, simulations and comparisons are executed to illustrate the effectiveness of this kind of fuzzy methods.
  • Keywords
    H control; HVAC; control system synthesis; feedback; fuzzy control; linear matrix inequalities; nonlinear control systems; H performance; LMIs; T-S fuzzy controller design; augmented HVAC system model; heating-ventilation-and air conditioning systems; linear matrix inequalities; nonlinear local feedbacks; nonlinear local models; Fuzzy control; H control; HVAC systems; T-S fuzzy models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIAFS.2014.7069545
  • Filename
    7069545