• DocumentCode
    3573454
  • Title

    Main steam temperature control of ultra supercritical unit based on online identification and IMC-PID

  • Author

    Wang Fuqiang ; Li Xiaoli ; Zhang Qiusheng

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijin, Beijing, China
  • fYear
    2014
  • Firstpage
    4542
  • Lastpage
    4547
  • Abstract
    The main steam temperature is an important parameter to affect the economy and security of the generator. Due to the ultra supercritical units of the large capacity and high parameter, the main steam temperature control must be higher quality. However, main steam temperature of ultra supercritical unit has the characteristics of large time delay and different dynamic characteristics in different operating conditions. In the paper, the cascade control structure is applied. And the sampling period is reasonably selected. The identification mutation and the noise effect are inhibited by the threshold δ. The recursive least squares method with forgetting factor is used to identify the dynamic characteristics of main steam temperature on online. According to the IMC-PID theory, internal model control for main steam temperature is realized. Simulation results show that this algorithm is reliable, simple and easy to understand for the application of field personnel. There are less adjustable parameters (just one). In different conditions, the control quality of main steam temperature is improved, and the temperature deviation control is within 3°C.
  • Keywords
    cascade control; delays; least squares approximations; temperature control; three-term control; IMC-PID; cascade control structure; field personnel; identification mutation; internal model control; main steam temperature control; online identification; recursive least squares method; sampling period; time delay; ultra supercritical unit; Automation; Educational institutions; Electrical engineering; Intelligent control; Power systems; Temperature; Temperature control; forgetting factor; internal model control; online identification; recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053479
  • Filename
    7053479