Development of the levitation control system of a hyperloop vehicle using Deep Reinforcement Learning
This repository includes the experiments and the progress related to the development of a levitation control system for the vehicle of Hyperloop UPV by means of Deep Reinforcement Learning algorithms.
The repository includes the step by step progress during the academic year 2023/24, including the first attempts with different RL algorithms, the creation of a 1 DOF controller and the evolution towards achieving 5 DOF levitation, and the optimization and transformation to ONNX in order to be used in an STM32 microcontroller.
The code provided in this repository is part of the research internship in the Valencian Research Institute of Artificial Intelligence (VRAIN) and the Final Degree Thesis of @HugoAlbertBonet, Data Science Student at the Universitat Politècnica de València and Team Captain and Technical Director at Hyperloop UPV.
- Eva Onaindía
- Ángel Aso
- Miguel García
- Álvaro Pérez Pechorromán
- Stefan Iosif Costea