The demand for advanced operational optimization has escalated significantly in the era of rapid satellite deployment and increasingly complex space missions. This thesis introduces a dynamic reconfiguration framework designed to enhance operational efficiency across a broad spectrum of satellite operations, with a particular focus on collision avoidance as a key application area. The study aims to develop and validate a comprehensive evaluation methodology that assesses the resource-usage effectiveness of maneuver strategies within satellite constellations, addressing critical operational parameters such as propellant usage, power requirements, time constraints, and satellite availability and capabilities.
The research investigates if satellite formations can be dynamically reconfigured to optimize resource utilization and operational effectiveness. Subsequently, the study investigates how decentralization contributes to the adaptability and scalability of satellite operations. Lastly, it explores the framework for the possibility of improving collision avoidance strategies within satellite constellations. Utilizing MATLAB and Systems Tool Kit (STK), this research formulates an optimization function and employs sophisticated algorithms to direct spacecraft maneuvers efficiently. The methodology emphasizes adaptability to support diverse mission scenarios and scalability to manage formations ranging from compact constellations to extensive networks.
The proposed framework significantly improved resource optimization, adaptability, and operational efficiency across satellite quantities and configurations. Specifically, it facilitated dynamic reconfiguration for collision avoidance, showcasing its potential to enhance mission success in complex and unpredictable space environments. The thesis concludes that the proposed dynamic reconfiguration framework offers a versatile and scalable solution to the challenges of modern satellite operations. By incorporating principles of decentralization, the framework ensures effective management and optimization of satellite formations. Future work will explore extending this framework to additional applications such as Earth observation, communication relays, and space debris management, further contributing to the efficiency and resilience of space missions.
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The demand for advanced operational optimization has escalated significantly in the era of rapid satellite deployment and increasingly complex space missions. This thesis introduces a dynamic reconfiguration framework designed to enhance operational efficiency across a broad spectrum of satellite operations, with a particular focus on collision avoidance as a key application area. The study aims to develop and validate a comprehensive evaluation methodology that assesses the resource-usage effec...
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