• DocumentCode
    3587279
  • Title

    Design and optimization of multi-modal controller for double inverted pendulums

  • Author

    Hao-chin Chang ; Tung-kuan Liu ; Geng-jhih Guo ; Yu-cheng Chou

  • Author_Institution
    Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
  • fYear
    2014
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    This paper presents a novel hybrid approach for the design and optimization of multi-modal controller for cart-type double inverted pendulums. The presented approach divides the motion of a cart-type double inverted pendulum into four phases, including the initial oscillation phase, swing-up phase, adjustment phase, and balance phase. In addition, the presented approach integrates PID controllers, LQRs, the Taguchi method, and a genetic algorithm to design a multimodal controller and optimize the parameters of the controller.
  • Keywords
    Taguchi methods; control system synthesis; genetic algorithms; linear quadratic control; nonlinear control systems; pendulums; three-term control; LQR; PID controllers; Taguchi method; adjustment phase; balance phase; cart-type double inverted pendulums; genetic algorithm; initial oscillation phase; multimodal controller design; swing-up phase; Adaptive systems; Control systems; Genetic algorithms; Nonlinear systems; Optimization; Oscillators; Robustness; LQR; PID controller; Taguchi method; double inverted pendulum; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and Its Applications (iFUZZY), 2014 International Conference on
  • Print_ISBN
    978-1-4799-4590-0
  • Type

    conf

  • DOI
    10.1109/iFUZZY.2014.7091254
  • Filename
    7091254