Design and analysis of a Stewart-platform-based six-axis load cell
Name
1012945189-MIT.pdf
Description
Full printable version
Size
5.6 MB
Format
Adobe PDF
Checksum (MD5)
0d54718160c79a4f9b4d636728e2a110
Author(s)
Ruiz, Maria Rosa, S.B. Massachusetts Institute of Technology
Advisor(s)
H. Harry Asada.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
In this work, a six-axis load cell based on the geometry of a Stewart platform was developed. Its geometry and functional requirements were motivated by the needs of robotic limbs designed to be attached to human workers to support them in typically unergonomic positions. The sensor can measure forces and torques in six degrees of freedom, and can stably support the worker in various hanging positions while still being sensitive to load measurements in different directions. Furthermore, it is made from inexpensive, commonly available cantilever beam load cells. In the least accurate direction, Mx, our measurements were consistently 20% below the nominal applied load. In the most accurate directions, Fx, My, and Mz, our measurements were consistently within 5% of the nominal applied loads. Performance can be optimized using the condition number of the transformation matrix. The full-scale version of the hex sensor is also designed and optimized based on its condition number.
Description
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 43).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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.
Persistent DSpace Link