Motor-gearbox selection for energy efficiency

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    4 Citations (Scopus)

    Abstract

    Energy consumption of robotic systems is getting more and more attention. Previous work suggests that energy losses in the actuators of robots are a significant source of high energy consumption. A possible reason is that, so far, motor-gearbox selection methods have not focussed on energy efficiency. In this work, we present a model-based motor-gearbox selection procedure with the focus on key mechanisms of energy dissipation. Using an example, we evaluate the possible efficiency gains when selecting a motor-gearbox combination for energy efficiency. In this example, the losses are reduced by 56% to 40%. We conclude that selecting a motor-gearbox combination for energy efficiency can provide a significant improvement in the efficiency. However, the energy losses in the motor-gearbox combination remain significant.
    Original languageUndefined
    Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE
    Pages669-675
    Number of pages7
    ISBN (Print)978-1-5090-2065-2
    DOIs
    Publication statusPublished - Jul 2016
    Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - The Banff Centre, Alberta
    Duration: 12 Jul 201615 Jul 2016

    Publication series

    Name
    PublisherIEEE

    Conference

    Conference2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
    Abbreviated titleAIM
    CityAlberta
    Period12/07/1615/07/16

    Keywords

    • model-based motor-gearbox selection procedure
    • EWI-26731
    • robotic systems
    • IR-103450
    • Energy Efficiency
    • METIS-321656
    • Energy consumption

    Cite this

    Dresscher, D., de Vries, T. J. A., & Stramigioli, S. (2016). Motor-gearbox selection for energy efficiency. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 669-675). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/AIM.2016.7576845