• DocumentCode
    2342795
  • Title

    Direct conversion of PID controller to fuzzy controller method for robustness

  • Author

    Hongli, Lv ; Peiyong, Duan ; Wenjian, Cai ; Lei, Jia

  • Author_Institution
    Inf. & Electr. Eng. Coll., Shandong Jianzhu Univ., Jian
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    790
  • Lastpage
    794
  • Abstract
    A new fuzzy control strategy, converted directly from the PID controller, was applied to control the Heating, Ventilating, and Air-Conditioning (HVAC) systems in this paper. It took full advantages of mature technologies of PID parameters tuning to improve the design of fuzzy controllers. The mathematical analytical expression of parameters between fuzzy controllers and linear gains coefficients of conventional PID controllers was got based on the structure analysis of fuzzy controllers. And the fuzzy controller was designed through gains tuning of PID controller based the analytical relations. Because HVAC systems are typical nonlinear time-variable multivariate systems with disturbances and uncertainties, then this new fuzzy controller was applied into temperature control in HVAC systems. The simulation test results compared with the conventional PID control showed that the proposed fuzzy controller is effective and this algorithm has less overshoot, shorter setting time and better robustness etc.
  • Keywords
    HVAC; fuzzy control; multivariable control systems; nonlinear control systems; temperature control; three-term control; time-varying systems; HVAC system; PID controller; fuzzy controller; heating ventilating and air conditioning system; nonlinear time-variable multivariate system; temperature control; Control systems; Fuzzy control; Fuzzy systems; Gain; Heating; Nonlinear control systems; Robust control; Temperature control; Three-term control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582623
  • Filename
    4582623