Trajectory Optimization for Missions to Small Bodies with a Focus on Scientific Merit

Trajectory design for missions to small bodies is tightly coupled both with the selection of targets for the mission and with the choice of spacecraft power, propulsion, and other hardware. Traditional methods of trajectory optimization have focused on finding the optimal trajectory for an a priori selection of destinations and spacecraft parameters. Recent research has expanded the field to multidisciplinary systems optimization that includes spacecraft parameters. The logical next step is to extend the optimization process to include target selection based not only on engineering figures of merit but also scientific value. This article presents a new technique to solve the multidisciplinary mission optimization problem for small-body missions, including classical trajectory design, the choice of spacecraft power and propulsion systems, and the scientific value of the targets. This technique, when combined with modern parallel computers, enables a holistic view of the small-body mission design process that previously required iteration among several different design processes.

[1]  Jacob A Englander,et al.  An Automated Solution of the Low-Thrust Interplanetary Trajectory Problem. , 2017, Journal of guidance, control, and dynamics : a publication of the American Institute of Aeronautics and Astronautics devoted to the technology of dynamics and control.

[2]  Matthew A. Vavrina,et al.  Implementation of a Low-Thrust Trajectory Optimization Algorithm for Preliminary Design , 2006 .

[3]  H. Fawcett Manual of Political Economy , 1995 .

[4]  Stephen C. Tegler,et al.  Color Patterns in the Kuiper Belt: A Possible Primordial Origin , 2003 .

[5]  Edmondo Minisci,et al.  Analysis of Some Global Optimization Algorithms for Space Trajectory Design , 2010 .

[6]  J. P. Moore,et al.  A ring system detected around the Centaur (10199) Chariklo , 2014, Nature.

[7]  Bruce A. Conway,et al.  Automated Mission Planning via Evolutionary Algorithms , 2012 .

[8]  Ossama Abdelkhalik,et al.  Dynamic-Size Multiple Populations Genetic Algorithm for Multigravity-Assist Trajectory Optimization , 2012 .

[9]  Bernardetta Addis,et al.  A global optimization method for the design of space trajectories , 2011, Comput. Optim. Appl..

[10]  Matthew A. Vavrina,et al.  Multi-Objective Hybrid Optimal Control for Multiple-Flyby Low-Thrust Mission Design , 2015 .

[11]  Young-Jun Choi,et al.  The Large-Grained Dust Coma of 174P/Echeclus , 2008 .

[12]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[13]  MASSIMILIANO VASILE,et al.  Design of Low-Thrust Multi-Gravity Assist Trajectories to Europa DESIGN OF LOW-THRUST MULTI-GRAVITY ASSIST TRAJECTORIES TO EUROPA , 2010 .

[14]  J. Licandro,et al.  Possible ring material around centaur (2060) Chiron , 2015, 1501.05911.

[15]  Michael A. Saunders,et al.  SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization , 2002, SIAM J. Optim..

[16]  Jacob A. Englander,et al.  Tuning Monotonic Basin Hopping: Improving the Efficiency of Stochastic Search as Applied to Low-Thrust Trajectory Optimization , 2014 .

[17]  A. Doressoundiram,et al.  Reopening the TNOs color controversy: Centaurs bimodality and TNOs unimodality , 2003 .

[18]  Massimiliano Vasile,et al.  Design of Low-Thrust Gravity Assist Trajectories to Europa , 2011, ArXiv.

[19]  Matthew A. Vavrina,et al.  Coupled Low-thrust Trajectory and System Optimization via Multi-Objective Hybrid Optimal Control , 2015 .

[20]  Ossama Abdelkhalik,et al.  Hidden Genes Genetic Algorithm for Multi-Gravity-Assist Trajectories Optimization , 2011 .

[21]  Jon A. Sims,et al.  Preliminary Design of Low-Thrust Interplanetary Missions , 1997 .

[22]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[23]  Dario Izzo,et al.  Low-thrust trajectory design as a constrained global optimization problem , 2011 .

[24]  Matthew A. Vavrina,et al.  Multi-Objective Hybrid Optimal Control for Multiple-Flyby Interplanetary Mission Design Using Chemical Propulsion , 2015 .

[25]  D. Izzo,et al.  Global Optimisation Heuristics and Test Problems for Preliminary Spacecraft Trajectory Design , 2009 .

[26]  Bruce A. Conway,et al.  Global optimization of low-thrust, multiple-flyby trajectories at medium and medium-high fidelity , 2014 .