• DocumentCode
    2315511
  • Title

    BMP: A self-balancing mobile platform

  • Author

    Li, Bin-bin ; Zhu, Jin-hvi ; Min, Hua-qing

  • Author_Institution
    Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    3
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    868
  • Lastpage
    874
  • Abstract
    The development of two wheels self-balancing robot has gained more and more attention over the past years. It is suitable for working in outdoor environment especially where the ground is not flat. This paper describes our works on building a self-Balancing Mobile Platform named BMP. We build the dynamic model to find the relation between the robot posture and output voltages applying on the motors. An accelerometer and gyroscope are used to estimate the posture through Kalman filter algorithm. Then a multi-segment PID controller changes the motor voltage according to the platform motion mode and posture. The experiments are carried out in simulation, then on the real platform. The results of the experiments show that BMP works effectively and robustly.
  • Keywords
    Kalman filters; accelerometers; estimation theory; gyroscopes; mobile robots; motion control; robot dynamics; three-term control; BMP; Kalman filter algorithm; accelerometer; dynamic model; gyroscope; motor voltage; multisegment PID controller; outdoor environment; output voltages; platform motion mode; posture estimation; robot posture; self-balancing mobile platform; two wheels self-balancing robot; Abstracts; Mobile robots; Robot sensing systems; Kalman filter; PID control; Robotic; inverted pendulum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359467
  • Filename
    6359467