Multidisciplinary Design Optimization of Portland State Aerospace Society (PSAS) Launch Vehicle 4

dc.contributor.authorCasserly, Aaron
dc.date.accessioned2023-10-05T23:24:58Z
dc.date.available2023-10-05T23:24:58Z
dc.date.issued2023
dc.description21 pagesen_US
dc.description.abstractMultidisciplinary Design Optimization is a field that enables the solution of challenging engineering problems involving multiple technical specializations and design/performance constraints. In this work, I optimize the design of the PSAS Launch Vehicle 4 (LV4). To that end, I evaluate different optimization approaches—such as RBFOpt Global Optimization, Nelder-Mead minimization, and Simplicial Homology Global Optimization with Nelder-Mead and COBYLA local minimization techniques, calculate structural analysis information for different stages of flight, outline a method of simulating fin “staging”—the dropping of a larger initial fin can at a certain altitude to reduce the required engine thrust and drag in the upper atmosphere and optimize fin parameters. I converged on the ideal design vector. This led to an apogee of 107 km with a 9.8 kN engine (realized with two 5 kN engines). Further debugging is required to resolve the apparent 120 km vehicle drift.en_US
dc.identifier.urihttps://hdl.handle.net/1794/28959
dc.language.isoenen_US
dc.publisherUniversity of Oregonen_US
dc.rightsCreative Commons BY-NC-ND 4.0-USen_US
dc.titleMultidisciplinary Design Optimization of Portland State Aerospace Society (PSAS) Launch Vehicle 4en_US
dc.typeArticleen_US

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