A Machine Learning Approach to Improve Diameter Control in Desktop Fiber Extrusion Processes
A machine learning approach to controlling the diameter of a desktop fiber extrusion process with a PLC is developed and evaluated against the performance of PID control. The deep reinforcement learning model can learn how to control the output diameter of the process based on a given target without...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153677 |