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Optimal Control of the Bicycle-Rider Human-Machine System | ||
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:date: 2023-10-27 | ||
:status: hidden | ||
:slug: jobs/msc/optimal-control-bicycle-rider | ||
:template: msc-project | ||
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.. figure:: https://objects-us-east-1.dream.io/mechmotum/brim-lane-change.gif | ||
:align: center | ||
:width: 80% | ||
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Lane change simulation created with BRiM showing without and without a | ||
rider. | ||
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We have developed muscle driven bicycle-rider models and solved basic | ||
trajectory optimization tracking problems, demonstrating that the models and | ||
tools work and are capable. You can see various results here in this `blog post | ||
<{filename}/czi-sympy-wrapup.rst>`_. | ||
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This MSc project would be focused on solving some real problems with the new | ||
tools. Here are some examples: | ||
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- What are the optimal strategies in balancing a bicycle if you ride no-hands | ||
versus steering only versus steering body movements? We also know you use | ||
lateral motion of your knees and that could be interesting to investigate. | ||
- Use the tools to discover the closed loop control the human uses in the | ||
balancing task. | ||
- Find the optimal race performance over an entire race course using the 3D | ||
model. You can investigate the effects of changing out different aspects of | ||
the bicycle: aerodynamics, rolling resistance, etc.? | ||
- Find the effects of energy lost due to lateral motions of tires over the | ||
whole course. | ||
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There are numerous possibilities. You will be writing Python programs and | ||
working on the related tools. |