• DocumentCode
    1580004
  • Title

    Feedback Fuzzy-PI Control dynamic voltage scaling for real-time control tasks

  • Author

    Cho, Seong Jin ; Lee, Jae Chol ; Jeon, Yong Han ; Jeon, Jae Wook

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2009
  • Firstpage
    848
  • Lastpage
    852
  • Abstract
    Many industrial controller use real-time OS as control systems have become more complex and control many targets. Thus, as CPU frequency increases, so power consumption increases. Dynamic voltage/frequency scaling is an important issue to consider the power awareness problem in real-time scheduling of embedded systems. The DVS technique is important to control tasks in embedded systems, since DVS, efficiency changes controller performance. If control performance increases, then power consumption increases. That is, if power consumption decreases, then control performance decreases. High control performance and low power consumption are important. Much research has been conducted to solve this problem. In this paper, we propose the feedback fuzzy-PI control DVS method to control tasks in real-time embedded systems. Then, we explain the hard real-time mechanism in the feedback fuzzy-PI control method for control tasks. Simulation shows the task-based feedback fuzzy-PI control DVS performance and missed deadline rate.
  • Keywords
    PI control; control engineering computing; embedded systems; fuzzy control; dynamic voltage-frequency scaling; feedback fuzzy-PI control dynamic voltage scaling; industrial controller; power consumption; real-time OS; real-time control tasks; Control systems; Dynamic voltage scaling; Electrical equipment industry; Embedded system; Energy consumption; Feedback; Frequency; Industrial control; Real time systems; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420564
  • Filename
    5420564