• DocumentCode
    2696202
  • Title

    An implementation of fractional-order PID controller with dynamic quantizer considering the memory constraint

  • Author

    Matsunaga, Nobutomo ; Sasano, Koji ; Okajima, Hiroshi

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, Japan
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    2409
  • Lastpage
    2414
  • Abstract
    Recently, the fractional-order PID (FO-PID) control, which is the generalization of the PID control, has been focused. Even though the FO-PID needs the high-order filter, it is difficult to realize the high-order one due to the memory limitation of the micro-controller unit (MCU). For implementation of the FO-PID, approximation of the fractional integrator and differentiator is required. Short memory principle (SMP) is one of the effective approximation methods. However, there is a disadvantage that the approximated filter by the SMP can´t eliminate the steady-state error. For this disadvantage, we introduce the distributed implementation of integrator and the dynamic quantizer to make the efficient use of available memory. Our objective is to clarify how to implement the accurate FO-PID with little memories. In this paper, we propose the implementation method of the FO-PID with memory constraint using dynamic quantizer. And the trade-off between approximation of fractional elements and quantized data size are examined so as to close to the ideal responses. Using the temperature control system of heat plate, the proposed method is evaluated by experiments.
  • Keywords
    approximation theory; constraint theory; controllers; differential equations; filtering theory; integral equations; quantisation (signal); three-term control; differentiator approximation; dynamic quantizer; fractional integrator approximation; fractional order PID controller; heat plate temperature control system; high order filter; integrator distributed implementation; memory constraint; microcontroller unit; short memory principle; steady state error; Heating; Linear approximation; Memory management; Piecewise linear approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2010 IEEE International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-5362-7
  • Electronic_ISBN
    978-1-4244-5363-4
  • Type

    conf

  • DOI
    10.1109/CCA.2010.5611321
  • Filename
    5611321