Optimal control strategies for maximizing the performance of Variable Stiffness Joints with nonlinear springs

Mehmet Can Ozparpucu, Alin Albu-Schaffer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publication53rd IEEE Conference on Decision and Control,CDC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1409-1416
Number of pages8
EditionFebruary
ISBN (Electronic)9781479977468
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: 15 Dec 201417 Dec 2014

Publication series

NameProceedings of the IEEE Conference on Decision and Control
NumberFebruary
Volume2015-February
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Country/TerritoryUnited States
CityLos Angeles
Period15/12/1417/12/14

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