Research towards (compliant) actuators, especially redundant ones like the Series Parallel Elastic Actuator (SPEA), has led to the development of drive trains, which have demonstrated to increase efficiency, torque-to-mass-ratio, power-to-mass ratio, etc.
In the field of robotics such drive trains can be implemented, enabling technological improvements like safe, adaptable and energy-efficient robots.
The choice of the used motor and transmission system, as well as the compliant elements composing the drive train, are highly dependent of the application and more specifically on the allowable weight and size.
In order to optimally design an actuator adapted to the desired characteristics and the available space, scaling laws governing the specific actuator can simplify and enhance the reliability of the design process.
Although scaling laws of electric motors and links are known, none have been investigated for a complete redundant drive train.
The present study proposes to fill this gap by providing scaling laws for electric motors in combination with their transmission system.
These laws are extended towards parallelization, i.e. replacing one big motor with gearbox by several smaller ones in parallel.
The results of this study show that the torque/mass ratio for a motor-gearbox can not be increased by parallelization, but that it can increase the torque/volume ratio.
This is however only the case if a good topology is chosen.
Originele taal-2English
TitelProceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
Aantal pagina's8
ISBN van elektronische versie9781728162126
StatusPublished - 24 okt 2020
Evenement2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) - Las Vegas, United States
Duur: 25 okt 202029 okt 2020

Publicatie series

NaamIEEE International Conference on Intelligent Robots and Systems
ISSN van geprinte versie2153-0858
ISSN van elektronische versie2153-0866


Conference2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
Verkorte titelIROS 2020
LandUnited States
StadLas Vegas
Internet adres


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