• DocumentCode
    1592294
  • Title

    Quadratic optimization of force distribution in walking machines

  • Author

    Marhefka, Duane W. ; Orin, David E.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    1
  • fYear
    1998
  • Firstpage
    477
  • Abstract
    Energy efficiency remains a problem in walking machines. One approach to improving energy efficiency involves solving for an optimal set of foot forces which minimizes the power supplied to DC motor actuators at each instant. Energy regenerated by the motors, which may be significant, is generally lost and should be explicitly taken into account to produce the optimal force distribution. A method to produce this optimal solution using quadratic programming is developed in this paper. The results are compared to three suboptimal quadratic programming approaches which minimize internal forces, a weighted norm of joint torques, and finally power without accounting for regeneration, all on a simulated hexapod. It is found that the common approach of minimizing internal forces may often result in poor energy efficiency
  • Keywords
    legged locomotion; minimisation; quadratic programming; robot dynamics; DC motor actuators; energy efficiency; foot forces; force distribution; internal forces; quadratic optimization; simulated hexapod; suboptimal quadratic programming; walking machines; Actuators; DC motors; Energy efficiency; Foot; Force feedback; Leg; Legged locomotion; Optimization methods; Power supplies; Quadratic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
  • Conference_Location
    Leuven
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-4300-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1998.677020
  • Filename
    677020