Dynamic optimization of two methods of the long jump
Name
1013183734-MIT.pdf
Description
Full printable version
Size
4.12 MB
Format
Adobe PDF
Checksum (MD5)
3b9aaad0bcbefedbf586b723b877ef90
Author(s)
Mo, Stacy (Stacy M.)
Advisor(s)
Sangbae Kim.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I analyzed, modelled, and optimized two different techniques of the long jump: the hitchkick and hang. Using video data, I made a dynamic model of both techniques, then created a cost function that took torques and angles into consideration to simulate physical limitations. Using a function minimizing optimizer, trajectories were simulated over a range of torque limits and angle penalties. Over the course of 292 simulations, we found that the hitchkick technique improved jump distances more than the hang technique, improving by up to 34.65% with an average of 7.7% while the hang technique increased jump distance by a maximum of 30.21%, with an average of -15.89%.
Description
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 45).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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