School of Engineering Department of Mechanical and Aerospace Engineering 165 Towards Developing a Multidisciplinary Design Optimization Framework of Microsatellites Supervisor: LIEM Rhea Patricia / MAE Co-supervisor: YU Hongyu / MAE Student: LEE Conan / AE Course: UROP 1100, Fall UROP 2100, Spring UROP 3200, Summer This study aims to develop a Multidisciplinary Design Optimization (MDO) framework for designing microsatellite constellations. Microsatellites are gaining popularity due to their customizability, scalability, and cost-efficiency compared to traditional large satellites. Being small, they can be launched as secondary payloads, allowing for rapid deployment of large quantities to provide continuous coverage and data collection. These attributes make constellations particularly effective for scientific research and Earthmonitoring purposes, which are the primary focus of this research. The shorter development cycles of these constellations necessitate a quicker design processes. However, designing these systems is complex due to the interlinked nature of multiple subsystems and the challenges in quantifying performance. These challenges are particularly significant for new constellation designs with unique constraints and objectives. Therefore, the purpose of this study is to create an MDO framework that models microsatellite constellation designs. This framework aims to achieve optimal design solutions based on defined constraints and physical equations to ensure the validity of these solutions.
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