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Massachusetts Institute of Technology

Inertia compensation of a planar robot for human upper limb interaction

Abstract

dc:description.abstract

This thesis documents the development of software and a control system for the InMotion2 planar robot. Software was developed to provide sensor input processing from the robot encoders and force/torque transducer, and output processing for the robot motors. A controller scheme was developed to compensate for the natural robot configuration-based inertia as well as friction and un-modeled dynamics. The inertia compensator was designed using an inertial admittance model and a nonlinear robust adaptive tracking controller based on sliding mode control. A hybrid control mode was developed in which impedance control was used to enforce a virtual constraint and inertia compensation acted along the constraint. The controller proved to be stable throughout testing and provide the desired inertia. The accuracy of the inertia compensation was within human perception limits for modest inertia references.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Thorup, Jessie
Advisor dc:contributor.advisor
  • Neville Hogan.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/118676
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/118676

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Thorup, Jessie. Inertia compensation of a planar robot for human upper limb interaction. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118676