DocumentCode
114597
Title
Optimal control strategies for maximizing the performance of Variable Stiffness Joints with nonlinear springs
Author
Ozparpucu, Mehmet Can ; Albu-Schaffer, Alin
Author_Institution
DLR - German Aerosp. Center, Inst. of Robot. & Mechatron., Wessling, Germany
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
1409
Lastpage
1416
Abstract
A very young robotics research topic is the use of elastic elements in joints to increase their performance. The idea of attaching the robot link to the motor via elastic elements is especially motivated by the possibility to store potential energy in the springs, which enables movement types that could not be implemented with rigid joints. After our recent results on the relation between the spring´s potential energy and the optimal control strategy for realising explosive motions using adjustable linear springs with a velocity-controlled motor, we extend in this paper these results to elastic joints with adjustable nonlinear springs. In particular, we build up on the method we first introduced for analysing Variable Stiffness Actuators with fixed motor positions and consider now additionally the control from the motor side. The application of the method is illustrated by investigating serial elastic joints as well as variable stiffness joints with nonlinear springs and it is shown how optimal control strategies for linear systems such as periodic bang-bang excitations with the system´s resonant frequency, change in this more general setting to energy-dependent excitations.
Keywords
actuators; bang-bang control; optimal control; springs (mechanical); trajectory control; velocity control; elastic elements; energy-dependent excitation; nonlinear springs; optimal control strategy; periodic bang-bang excitation; potential energy storage; robotics research topic; variable stiffness actuators; variable stiffness joints; velocity-controlled motor; Joints; Optimal control; Potential energy; Springs; Switches; Torque; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7039599
Filename
7039599
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