modelling multi-objective trajectory optimisation

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ESR: Elisabetta Iorfida Supervisors: Prof Phil Palmer, Prof Mark Roberts Surrey Space Centre, University of Surrey, UK First Astronet-II Training School Rome "Tor Vergata" University – 14 th -17 th January 2013 Modelling Multi-Objective Trajectory Optimisation

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Modelling Multi-Objective Trajectory Optimisation. ESR: Elisabetta Iorfida Supervisors: Prof Phil Palmer, Prof Mark Roberts Surrey Space Centre, University of Surrey, UK First Astronet -II Training School Rome "Tor Vergata " University – 14 th - 17 th January 2013. Personal Background. - PowerPoint PPT Presentation

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Page 1: Modelling Multi-Objective  Trajectory  Optimisation

ESR: Elisabetta IorfidaSupervisors: Prof Phil Palmer, Prof Mark Roberts

Surrey Space Centre, University of Surrey, UK

First Astronet-II Training SchoolRome "Tor Vergata" University – 14th-17th January 2013

Modelling Multi-Objective Trajectory Optimisation

Page 2: Modelling Multi-Objective  Trajectory  Optimisation

Personal Background

2Modelling Multi-Objective Trajectories OptimisationESR: E. Iorfida

First Astronet-II Training School Rome "Tor Vergata" University – 14th-17th January 2013

Bachelor’s degree (Laurea triennale), 2007Aerospace Engineering, University of PisaThesis: “Orbit models of electric sail space vehicles”

Master's degree (Laurea specialistica), 2011Aerospace Engineering, University of Pisa

MSc Thesis Project Astrodynamics & Satellite missions dept.Delft University of Technology“Preliminary Design of Interplanetary Trajectories with Deep Space Manoeuvres”

Page 3: Modelling Multi-Objective  Trajectory  Optimisation

Personal Background

3Modelling Multi-Objective Trajectories OptimisationESR: E. Iorfida

project (TU Delft Astrodynamics toolbox)

Delft University of Technology

“Tudat: a modular and robust astrodynamics Toolbox”5th ICATT 2012, International Conference on Astrodynamics Tools and Techniques, 29 May – 1 June 2012, ESA/ESTEC, Noordwijk, The Netherlands

First Astronet-II Training School Rome "Tor Vergata" University – 14th-17th January 2013

Page 4: Modelling Multi-Objective  Trajectory  Optimisation

ESR Project

4Modelling Multi-Objective Trajectories OptimisationESR: E. Iorfida

Messenger missionPROs• Complex

scenario, commonly used to optimise the mission.

CONs• Difficult to be

modeled;• Solution search

space complexity increases.

PhD ResearcherSurrey Space Centre, University of Surrey (April 2012 – Present)

First Astronet-II Training School Rome "Tor Vergata" University – 14th-17th January 2013

Page 5: Modelling Multi-Objective  Trajectory  Optimisation

ESR Project

5Modelling Multi-Objective Trajectories OptimisationESR: E. Iorfida

First Astronet-II Training School Rome "Tor Vergata" University – 14th-17th January 2013

• Multi-objective interplanetary trajectory optimisation• Modelling of science return and cost functions (2 and

3 body problems)• Robustness of mission designs

• Non-linearized solutions • Complex scenarios, e.g. addition of fly-bys• Pareto front solutions

General outline of the project

Current stateof the art

• Mid-course impulse optimisation methods• Variational analysis approach

Futurework

Page 6: Modelling Multi-Objective  Trajectory  Optimisation

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Thank you for your attention!

Modelling Multi-Objective Trajectories OptimisationESR: E. Iorfida

First Astronet-II Training School Rome "Tor Vergata" University – 14th-17th January 2013

Astrodynamics Research Group, Surrey Space Centre