• DocumentCode
    2705843
  • Title

    Design of a Wheeled Inverted Pendulum as a platform for learning based control

  • Author

    Ouyang, Liping ; Du, Bianjing ; Peng, Ansi ; Ou, Yongsheng

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    Recently, a robust system as a platform to study multi learning based control methods was developed in our research. Learning based intelligent control is a challenging research topic. It is a kind of intelligent control approaches by learning a mapping between world states and actions from demonstrations. To carry out experiments, many platforms had been presented in past research. But most of them are either too complex or too expensive that researchers have to pay more attention on platforms rather than research. Thus, a low cost but robust and multi-purpose platform is quite helpful and valuable for such a research topic. Wheeled Inverted Pendulum(WIP), with clear model and dynamically stable static unstable characteristic, may be an ideal choice. This system uses two paralleled wheels to bear weight, keep balance and make movements at the same time. However, In this paper, we present an implementation of the design of a low cost, high quality WIP with special consideration for learning based controlling research with experiments illustrated.
  • Keywords
    control system synthesis; intelligent control; learning systems; nonlinear systems; pendulums; wheels; WIP; demonstration action; learning based intelligent control; multilearning based control methods; paralleled wheels; robust system; wheeled inverted pendulum design; world states; Computers; Equations; Kalman filters; Mathematical model; Robot kinematics; Robustness; WIP; kalman filter; learning based control; state description;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246841
  • Filename
    6246841