Informatics
Mission Analysis
May 7, 2013

# Rosetta

The problem presented in this section is a MGADSM problem relative to a mission to the comet 67P/Churyumov-Gerasimenko. The fly-by sequence selected is similar to the one planned for the spacecraft Rosetta. The objective function considered is the total mission delta V, including the launcher capabilities.

# The code

1. MATLAB: use the function rosetta.m and pass to it the MGAproblem variable contained in rosetta.mat
2. C++: call the function "double rosetta(const std::vector & x)" provided in the GTOPtoolbox.
3. C++ (PaGMO): use the class pagmo::problem::rosetta
4. Python 2.7 (PyGMO): use PyGMO.problem.rosetta().obj_fun(x)

# Problem Description

The box bounds on each of the decision vector variable are given below.

# Units

x(1)t014601825MJD2000
x(2)Vinf35km/sec
x(3)u01n/a
x(4)v01n/a
x(5)T1300500days
x(6)T2150800days
x(7)T3150800days
x(8)T4300800days
x(9)T57001850days
x(10)eta10.010.9n/a
x(11)eta20.010.9n/a
x(12)eta30.010.9n/a
x(13)eta40.010.9n/a
x(14)eta50.010.9n/a
x(15)r_p11.059n/a
x(16)r_p21.059n/a
x(17)r_p31.059n/a
x(18)r_p41.059n/a

No other constraints are considered for this problem. The objective function is considered to the precision of meters per second.

# Solutions:

The best solutions submitted to this problem are listed below in chronological order:

# Algo

T., Vinko, D., IzzoEuropean Space AgencyMarch, 20081.449 km/s
x=[1524.25, 3.95107, 0.738307, 0.298318, 365.123, 728.902, 256.049, 730.485, 1850, 0.199885, 0.883382, 0.194587, 0.0645205, 0.493077, 1.05, 1.05, 1.05, 1.36925, -1.74441, 1.85201, -2.61644, -1.53468]
DE
T., Vinko, D., IzzoEuropean Space AgencyApril, 20081.417 km/s
x=[1524.26, 3.83938, 0.262978, 0.779762, 365.574, 720.579, 262.222, 728.772, 1848.47, 0.194268, 0.225388, 0.273158, 0.671802, 0.407266, 1.61803, 1.06012, 3.33304, 1.08071, -1.32760, 1.85218, -1.44709, -1.97420]
DE + PSO
B. Addis, A. Cassioli, M. Locatelli, F. SchoenGlobal Optimization Laboratory, University of FlorenceMay, 20081.368 km/s
x=[1532.24175527, 4.06829338437, 0.720326051073, 0.0348126697442, 365.2434892, 712.701756835, 260.961096679, 729.491441263, 1850, 0.202466066763, 0.486930227754, 0.356331627668, 0.549883084573, 0.431923236806, 1.28119554825, 1.05000000107, 3.1003448392, 1.0841556867 -1.97835856005, 1.81131692678, -1.26622621813, -1.97940868135]
MBH
M. Vasile, E. MinisciUniversity of GlasgowSept, 20081.360 km/s
x=[1543.30669582458, 4.62591297553792, 0.735711649721644, 0.751372228132414, 365.24128038597, 704.776990594467, 258.110840823509, 730.484771806871, 1849.99995454174, 0.341009328525255, 0.808663668992205, 0.376496220185218, 0.171287567923826, 0.431489206122146, 3.07135208604219, 1.06000000320681, 1.41824842842757, 1.39748724339122, -1.39587494176148 1.77647871470111, -2.52771948343642, -1.58247504575273]
--
M. Vasile, E. MinisciUniversity of GlasgowSept, 20081.355 km/s
x=[1541.2778574301 4.41425813939918 0.738120308957349 0.565680439091451 365.240617831587 708.567754159261 258.093449382336 730.090210655871 1850 0.270070640549605 0.807410043318084 0.0340763968862974 0.665797649174603 0.439110068689427 2.98093380724754 1.06 3.22629172773521 1.06 -1.69972011825889 1.79541928084097 -1.55821584701606 -1.97742285404074]
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B. Addis, A. Cassioli, M. Locatelli, F. SchoenGlobal Optimization Laboratory, University of FlorenceOct., 20081.344 km/s
x=[1543.32709193 4.5134580971 0.728163430778 0.083363202293 365.241449354 707.419993725 257.129520623 730.483802497 1849.96966072 0.31440923274 0.803777352667 0.0321377696745 0.123194720658 0.432626759733 1.4649721658 1.05000000002 3.18319943186 1.05823552668 -2.15517168796 1.78540451293 -1.63643821124 -1.98027492278]
MBH
M. Vasile, E. MinisciUniversity of GlasgowOct., 20081.343 km/s
x=[ 1542.80272275624 4.47844417111601 0.731698680164396 0.878289696281778 365.242313115732 707.754644446782 257.323851633799 730.483723605649 1850 0.469187103696963 0.810371727143097 0.0572409393084966 0.123333368519021 0.436535683460624 2.65762617428421 1.05 3.19780616934668 1.05622179187182 -1.2538881176403 1.78760232965523 -1.59467141651773 -1.97732549500432]
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