ALLEN CHAN; MITCHELL GALLETLY; DRIES VERSTRAETE

DOI Number: 10.13009/EUCASS2023-012

With the recently renewed interest in hybrid propulsion systems, there is a growing need for a vehicle design optimisation toolbox. This paper presents a multidisciplinary design optimisation framework using a Non-Dominated Sorting Genetic Algorithm (NSGA-11) to determine the ideal vehicle design for a given mission profile. The conceptual design of a 100 km experimental sounding rocket is developed using this framework. The derived vehicle designs are examined in detail to assess the effectiveness of the design tool. The optimiser produced vehicles very similar in size to existing flight-proven vehicles, confirming that the results are credible. The study also demonstrated the effect of the choice of propellant and fuel grain geometry on the overall vehicle design.

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In Categories: 1. Aerospace Europe Conference 2023, 1.Events, 17. System Integration
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