• DocumentCode
    2479833
  • Title

    Application of improved PID dynamic matrix control algorithm in EPA

  • Author

    Guo, Wei ; Yao, Shaojie

  • Author_Institution
    Coll. of Inf. &Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1512
  • Lastpage
    1515
  • Abstract
    Based on the analysis of PID control algorithm and dynamic matrix control (DMC) algorithm, the derivation of proportional integral derivative dynamic matrix control (PIDDMC) algorithm is given. Combined the virtues of the two algorithms, this kind of algorithm is of the advantages of PID algorithm, which is simple in structure, reliable in operation and robust in performance, and of predictive function. The influence of PIDDMC controller parameter tuning on system performance is investigated in time domain. The parameter election range is researched. Compared simulation results in a real time Ethernet for Plant Automation (EPA) experiment device, PIDDMC algorithm has better performance than conventional DMC algorithm to make the system have satisfactory stability and transition characteristics, and grounds well for engineering application.
  • Keywords
    industrial control; industrial engineering; industrial plants; local area networks; matrix algebra; stability; three-term control; EPA; Ethernet for Plant Automation; PID dynamic matrix control; parameter election range; parameter tuning; predictive function; proportional integral derivative dynamic matrix control; satisfactory stability; Algorithm design and analysis; Automatic control; Control systems; Heuristic algorithms; PD control; Pi control; Proportional control; Robustness; System performance; Three-term control; Dynamic matrix control; PID control; Performance analysis; Time domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593143
  • Filename
    4593143