Multi-objective optimal control of ascent trajectories for launch vehicles
Ricciardi, Lorenzo A. and Vasile, Massimiliano and Toso, Federico and Maddock, Christie Alisa; (2016) Multi-objective optimal control of ascent trajectories for launch vehicles. In: AIAA/AAS Astrodynamics Specialist Conference, 2016. AIAA Space Forum . American Institute of Aeronautics and Astronautics Inc, AIAA, USA. ISBN 9781624104459 (https://doi.org/10.2514/6.2016-5669)
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Abstract
This paper presents a novel approach to the solution of multi-objective optimal control problems. The proposed solution strategy is based on the integration of the Direct Finite Elements Transcription method, to transcribe dynamics and objectives, with a memetic strategy called Multi Agent Collaborative Search (MACS). The original multi-objective optimal control problem is reformulated as a bi-level nonlinear programming problem. In the outer level, handled by MACS, trial control vectors are generated and passed to the inner level, which enforces the solution feasibility. Solutions are then returned to the outer level to evaluate the feasibility of the corresponding objective functions, adding a penalty value in the case of infeasibility. An optional single level refinement is added to improve the ability of the scheme to converge to the Pareto front. The capabilities of the proposed approach will be demonstrated on the multi-objective optimisation of ascent trajectories of launch vehicles.
ORCID iDs
Ricciardi, Lorenzo A. ORCID: https://orcid.org/0000-0002-0895-7961, Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465, Toso, Federico ORCID: https://orcid.org/0000-0002-9698-5523 and Maddock, Christie Alisa ORCID: https://orcid.org/0000-0003-1079-4863;-
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Item type: Book Section ID code: 60564 Dates: DateEvent13 September 2016Published5 May 2016AcceptedNotes: ©2016 AIAA Ricciardi, L. A., Vasile, M., Toso, F., & Maddock, C. A. (2016). Multi-objective optimal control of ascent trajectories for launch vehicles. In AIAA/AAS Astrodynamics Specialist Conference, 2016. [2016-5669] (AIAA Space Forum). Reston, VA: American Institute of Aeronautics and Astronautics Inc, AIAA. DOI: 10.2514/6.2016-5669 Subjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 28 Apr 2017 15:28 Last modified: 23 Oct 2024 00:11 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/60564