• DocumentCode
    3021343
  • Title

    Selecting motors for robots using biomimetic trajectories: Optimum benchmarks, windings, and other considerations

  • Author

    Sensinger, Jonathon W.

  • Author_Institution
    Dept. of Phys. Med. & Rehabilitation, Northwestern Univ., Chicago, IL, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4175
  • Lastpage
    4181
  • Abstract
    Robotic actuators must frequently be designed to provide both substantial torque and acceleration in a lightweight package. Their ballistic trajectories require new optimization guidelines, in contrast to constant-speed or low-torque conventional motor design. A framework was derived in this study based on trajectories that incorporated the effect of velocity on torque and acceleration. This framework suggested that speed rate (or mechanical motor constant) was the best benchmark of robotic motor performance. Implications of this framework were evaluated using simulations of 37 optimized motor models. Simulation results confirmed the framework predictions, suggesting that speed rate was a better predictor of motor success than either motor constant or rated power. Optimum winding/gear ratio, supply voltage, and implications for design choices such as continuously variable transmissions are discussed in light of these findings.
  • Keywords
    actuators; ballistics; biomimetics; electric motors; robots; torque control; ballistic trajectories; biomimetic trajectories; low torque motor design; mechanical motor constant; robotic actuators; robots motor selection; substantial torque; Acceleration; Actuators; Biomimetics; Design optimization; Gears; Guidelines; Packaging; Predictive models; Robots; Torque; Brushless motor; mechanical motor constant; prostheses; speed rate; winding optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509620
  • Filename
    5509620