• DocumentCode
    2084926
  • Title

    Compound learning control for autonomous position and obstacle control of aerial hovering vehicles

  • Author

    Kamarulzaman, Syafiq Fauzi ; Yasunobu, Seiji

  • Author_Institution
    Faculty of Computer Science and Software Engineering, University of Malaysia Pahang, Pahang, Malaysia
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Aerial hovering vehicles represent application of non-linear devices in real environment. Controls of such devices are difficult due to instability in certain states of operation. Operating such device requires skills, and such knowledge of skills are even hard to develop as autonomous control system. In this research, a Compound Learning Control System for autonomous position control of aerial hovering vehicles among obstacle is designed. Compound function was applied together with two Learning Control functions concerning position transition and obstacles avoidance in the designed system. The system is expected to provide reliable and safe autonomous position transition through obstacle for an aerial hovering vehicle with non-linearity and was applied in simulation of an aerial hovering vehicle. Simulation results show that the system was able to provide autonomous position transition through obstacles successfully.
  • Keywords
    Collision avoidance; Compounds; Learning (artificial intelligence); Merging; Position control; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244513
  • Filename
    7244513