• DocumentCode
    2623624
  • Title

    DC-DC converter with closed loop control through several optimizing methods

  • Author

    Mahdavian, M. ; Poudeh, M. Bayati ; Eshtehardiha, S.

  • Author_Institution
    Naein Branch, Islamic Azad Univ., Isfahan
  • fYear
    2008
  • fDate
    22-24 May 2008
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    DC-DC converters have wide several applications in electrical industry, they can be employed for varied DC voltage usages and stabilization or the control of DC voltage of a battery or it can be a component of a complex converter to control the intermediate or output voltages. Due to their switching property included in their structure, DC-DC converters have a non-linear behavior and their controlling design is accompanied with complexities. But by employing the average method it is possible to approximate the system by linear system and exploiting linear control methods. In this article control Buck converters by method of linear quadratic regulator (LQR). This method is employed for controlling Buck converter and improving its dynamic functioning, but determining the LQR controlling matrices is very difficult. So, genetic algorithm and Tabu Search, (TS), are employed to eliminate this obstacle. The simulation results show an improvement in voltage control response.
  • Keywords
    DC-DC power convertors; genetic algorithms; linear quadratic control; search problems; voltage control; DC voltage control; DC-DC converter; Linear Quadratic Regulator; Tabu Search; average method; closed loop control; genetic algorithm; linear control methods; Batteries; Buck converters; Control systems; DC-DC power converters; Industrial control; Linear systems; Optimization methods; Regulators; Switching converters; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
  • Conference_Location
    Brasov
  • Print_ISBN
    978-1-4244-1544-1
  • Electronic_ISBN
    978-1-4244-1545-8
  • Type

    conf

  • DOI
    10.1109/OPTIM.2008.4602414
  • Filename
    4602414