Optimization of Wireless Power Transfer Systems in Microsatellites Using Genetic Algorithms
This article discusses the application of genetic algorithms (GAs) combined with a gradient descent (GD) for optimizing Wireless Power Transfer (WPT) systems in microsatellites. Traditional power transfer methods, such as slip-rings, face significant challenges in space environments due to mechanical wear and maintenance issues. The introduction of WPT technology, particularly through inductive coupling, presents a viable alternative that eliminates mechanical contacts, thus enhancing system reliability and longevity. By employing GAs and GD in conjunction with MATLAB and Simulink simulations, we aim to optimize the performance of WPT systems for microsatellite applications, focusing on efficiency and weight reduction.
Authors
- Fabio Crescimbini (ORCID: https://orcid.org/0000-0001-8598-1749)
- Francesco Riganti Fulginei (ORCID: https://orcid.org/0000-0001-8824-3776)
- Lorenzo Sabino (ORCID: https://orcid.org/0009-0003-7086-3709)
- Davide Profeta
- Davide Milillo
Institutions
- Roma Tre University (IT)
- Engineering (Italy) (IT)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1109/iccep65222.2025.11143648
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00