Mid-Course Trajectory Optimization of VFDR Missiles via Pseudospectral Sequential Convex Programming

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This paper presents a mid-course trajectory optimization method for variable-flow ducted rocket (VFDR) missiles. The minimum-final time problem is defined by reflecting the dynamics and flight constraints. We represent the air mass flow rate as an analytic function of the state variables and construct an artificial neural network (ANN) for the thrust. The system equation is established by selecting the angle-of-attack and air-to-fuel ratio as control variables. Then, pseudospectral sequential convex programming (PSCP) is utilized to solve the problem. Numerical optimization results are provided to demonstrate the performance of the proposed method and examine the optimal trajectory pattern of the VFDR missiles.
Publisher
European Conference for AeroSpace Sciences(EUCASS) - Council of European Aerospace Societies (CEAS)
Issue Date
2023-07-10
Language
English
Citation

Joint 10th EUCASS - 9th CEAS Conference

URI
http://hdl.handle.net/10203/314910
Appears in Collection
AE-Conference Papers(학술회의논문)
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