• DocumentCode
    2746008
  • Title

    Design and Application of Rough Controller in Three-Tank System

  • Author

    Aixian, Pan ; Yun, Gao

  • Author_Institution
    Dept. of Automatization, Qingdao Technol. Univ., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    5-6 June 2010
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    Rough set theory is an important soft computing method. Some useful knowledge can be extracted from original data with it. In this paper, a design method for rough controller is proposed based on rough set theory, and it be used to control the water-levels of a three-tank system. The key element to design rough controller is how to extract rule sets from human control behavior data according to rough set theory algorithm. The three-tank system consists of two variable frequency controllers, two ac-motors, two pumps and three tanks. The rough controller design steps include sampling control behavior data from a human operator for controlling the levels of the tanks, constructing the primal decision information tables using these data, extracting the control rules from these tables, completizating the rule sets, designing the controller and checking rules. Finally, the rough controllers are used to control the actual system. The experimental results indicate that design method of the rough controller is feasible and control effect is satisfying.
  • Keywords
    control system synthesis; frequency control; level control; rough set theory; ac-motors; primal decision information table; rough controller; rough set theory; soft computing method; three-tank system; variable frequency controllers; water-level control; Automatic control; Control engineering; Control systems; Data mining; Design methodology; Humans; Industrial engineering; Radio control; Sampling methods; Set theory; control rule; rough controller; rough set theory; three-tank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-4026-9
  • Type

    conf

  • DOI
    10.1109/CCIE.2010.155
  • Filename
    5491998