"Chaac": Harnessing Machine Learning for Intelligent Combustion Control and Sustainable Propellants in Liquid Propellant Rocketry
- Paper ID
91861
- DOI
- author
- company
High Technology Unit (UAT) Faculty of Engineering - UNAM; ; Universidad Nacional Autónoma de México (UNAM)
- country
Mexico
- year
2024
- abstract
Liquid propellant rockets have been used since the 20th century as a solution to the need to use fuel and oxidant separately in order to achieve an ideal combustion in an environment with such changing properties; however, the control of the engines has represented a great risk on more than one occasion. Similarly, over the years, different propellants have been experimented with, obtaining performance benefits but in some cases negatively affecting the environment. The present work shows the design and development of "Chaac", the first Mexican liquid propellant engine of the 21st century, with a design approach supported by machine learning methods and risk reduction through intelligent real-time control. This work aims to introduce the development of technologies for autonomous deep space navigation, the reduction of risks during propellant burn and the use of propellants with a lower environmental impact for the responsible and sustainable use of space technologies.