Robust Preliminary Space Mission Design under Uncertainty

Vasile, Massimiliano; Croisard, Nicolas

doi:10.1007/978-3-642-10701-6_21

Cited by 5 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The design variables corresponded to the mean anomaly and integer phasing orbits for the satellites in the constellation. 7) Vasile and Croisard [107] addressed the robust preliminary and multidisciplinary design for an interplanetary spacecraft mission, namely, the BepiColombo mission. The robust design considered uncertainties in several design parameters, and aims at reducing the impact of these on the optimal value for the design criteria.…”

Section: F Aerospace System Optimizationmentioning

confidence: 99%

Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

Arias-Montaño

Coello

Mezura-Montes

2012

IEEE Trans. Evol. Computat.

134

View full text Add to dashboard Cite

Nowadays, the solution of multiobjective optimization problems in aeronautical and aerospace engineering has become a standard practice. These two fields offer highly complex search spaces with different sources of difficulty, which are amenable to the use of alternative search techniques such as metaheuristics, since they require little domain information to operate. From the several metaheuristics available, multiobjective evolutionary algorithms (MOEAs) have become particularly popular, mainly because of their availability, ease of use, and flexibility. This paper presents a taxonomy and a comprehensive review of applications of MOEAs in aeronautical and aerospace design problems. The review includes both the characteristics of the specific MOEA adopted in each case, as well as the features of the problems being solved with them. The advantages and disadvantages of each type of approach are also briefly addressed. We also provide a set of general guidelines for using and designing MOEAs for aeronautical and aerospace engineering problems. In the final part of the paper, we provide some potential paths for future research, which we consider promising within this area.

show abstract

Section: F Aerospace System Optimizationmentioning

confidence: 99%

Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering

Arias-Montaño

Coello

Mezura-Montes

2012

IEEE Trans. Evol. Computat.

134

View full text Add to dashboard Cite

show abstract

Evidence-based robust design of deflection actions for near Earth objects

Zuiani¹,

Vasile²,

Gibbings³

2012

Celest Mech Dyn Astr

Self Cite

View full text Add to dashboard Cite

This paper presents a novel approach to the robust design of deflection actions for Near Earth Objects (NEO). In particular, the case of deflection by means of Solar-pumped Laser ablation is studied here in detail. The basic idea behind Laser ablation is that of inducing a sublimation of the NEO surface, which produces a low thrust thereby slowly deviating the asteroid from its initial Earth threatening trajectory. This work investigates the integrated design of the Space-based Laser system and the deflection action generated by laser ablation under uncertainty. The integrated design is formulated as a multi-objective optimisation problem in which the deviation is maximised and the total system mass is minimised. Both the model for the estimation of the thrust produced by surface laser ablation and the spacecraft system model are assumed to be affected by epistemic uncertainties (partial or complete lack of knowledge). Evidence Theory is used to quantify these uncertainties and introduce them in the optimisation process. The propagation of the trajectory of the NEO under the laser-ablation action is performed with a novel approach based on an approximated analytical solution of Gauss’ Variational Equations. An example of design of the deflection of asteroid Apophis with a swarm of spacecraft is presented

show abstract