| Ana Laveron-Simavilla |
Professor, Universidad Politécnica de Madrid, ETSI Aeronáutica y del Espacio, Madrid, Spain. | | Victoria Lapuerta |
Professor, Universidad Politécnica de Madrid, ETSI Aeronáutica y del Espacio, Madrid, Spain. | | Karl Olfe |
Professor, Universidad Politécnica de Madrid, ETSI Aeronáutica y del Espacio, Madrid, Spain. | | Richard Mark Haes-Ellis |
Researcher, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Seville, Spain. | | Ignacio Alvarado |
Researcher, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Seville, Spain. | | Daniel Limon |
Associate Professor, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Seville, Spain. | | Francisco Gavilan |
Professor, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Seville, Spain. | | Rafael Vazquez |
Professor, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Seville, Spain. |
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| Abstract:
The advancement of autonomous spacecraft operations demands robust and efficient attitude control systems capable of meeting increasingly stringent pointing requirements while minimizing power consumption. While classical linear controllers such as PID and H-infinity have demonstrated flight heritage, emerging technologies including quantum communications and precision formation flying require superior performance that advanced nonlinear control strategies can provide. This paper presents the development and pre-flight validation of fuzzy logic and Model Predictive Control (MPC) algorithms designed for experimental testing aboard the International Space Station. The paper details the experimental design using NASA's Astrobee free-flying robotic system as a validation platform for advanced attitude control algorithms. Comprehensive simulation results of fuzzy logic and MPC controllers are presented. The flight experiment protocol, operational procedures, and expected performance metrics are introduced. The paper describes the methodology for on-orbit validation planned for the end of 2026, which aims to provide experimental data for these advanced control strategies in true microgravity conditions, advancing their Technology Readiness Level for future space mission applications.
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