Title
Joint actuation based on highly dynamic torque transmission elements - concept and control approaches
Abstract
Electric motors clearly constitute the most common drive principle in robotics and mechatronics. Smart materials, however, offer considerably higher power-to-mass ratios than electric motors. If mechanical energy instead of electrical energy can be distributed through a system, highly dynamic and efficient torque transmission elements based on smart materials, e.g. piezoceramics, can be used to transmit torque from an input to an output element. Just like electric motors, they can thus provide position, velocity, and force-torque control of the output element. This paper introduces machine components, called adaptronic couplers, which can transmit variable torques highly dynamically from an input element to an output element employing static and/or dynamic friction. In the long run, systems (e.g. robots) based on these machine components are envisaged to compete with systems based on classic drive principles - especially electric motors - w.r.t. dynamics and power-to-mass-ratio. Apart from the concept itself, this paper addresses different control approaches and discusses their influence on energy consumption and wear. Moreover, various experimental results proving the basic concept are presented.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5980292
Robotics and Automation
Keywords
Field
DocType
electric motors,force control,friction,intelligent materials,manipulator dynamics,motor drives,piezoelectric actuators,torque control,adaptronic coupler,dynamic friction,electric motor,electrical energy,energy consumption,force control,higher power-to-mass ratio,highly dynamic torque transmission element,joint actuation,mechanical energy,mechatronics,piezoceramics,position control,smart material,static friction,torque control,velocity control
Torque,Control theory,Electric potential energy,Control engineering,Artificial intelligence,Smart material,Engineering,Mechatronics,Mechanical energy,Energy consumption,Electric motor,Robotics
Conference
Volume
Issue
ISSN
2011
1
1050-4729
ISBN
Citations 
PageRank 
978-1-61284-386-5
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Daniel Kubus1489.02
David Inkermann200.34
Thomas Vietor351.75
Friedrich M. Wahl4794186.93