• DocumentCode
    1795030
  • Title

    IMC-PID tuning method for stable FOPDT processes with stochastic time delay

  • Author

    Zhang Yao ; Huang Chunqing

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1073
  • Lastpage
    1078
  • Abstract
    On the basis of IMC framework, this paper addresses PID tuning problem for optimal IAE performance of FOPDT process with stochastic time delay. It should be noted that the traditional deterministic tuning methods can not deal with such problem since they require the exact knowledge or effective estimation of process parameters. From probabilistic point of view, the key idea of the proposed tuning method is to seek and minimize the mean value of IAE in the sense of probability. Meanwhile, the PID tuning rule of the proposed method is derived by means of Maclaurin expansion and the firstorder Taylor approximation that is popular in IMC-PID tuning techniques. In the presence of stochastic time delay in FOPDT process, it shows that the IAE performance of the resulting closed-loop system with the proposed PID tuning is improved in comparison with that of the traditional tuning methods for optimal IAE like Murrill et al. (1967), Smith et al. (1997) and Madhuranthakam et al. (2008).
  • Keywords
    approximation theory; closed loop systems; delay systems; stability; stochastic systems; three-term control; FOPDT process; IMC-PID tuning method; Maclaurin expansion; Taylor approximation; closed-loop system; deterministic tuning method; internal model control; stochastic time delay; Approximation methods; Delay effects; Indexes; Probabilistic logic; Process control; Stochastic processes; Tuning; FOPDT; IMC; PID tuning; optimal IAE; stochastic time delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007354
  • Filename
    7007354