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Multidisciplinary Optimization of Vehicle Performance and Interplanetary Trajectory
Tomokazu Konno,Takeshi Tsuchiya 한국항공우주학회 2008 한국항공우주학회 학술발표회 논문집 Vol.- No.-
A spacecraft which travels from the Earth to Mars is optimized using a Genetic Algorithm. This study considers a spacecraft with electric propulsion that explores into deep space. The vehicle design parameters are the distribution of vehicle mass and the distribution of electric power consumption. The mission plan is to fly from the earth to Mars and to carry out fly -by in Mars. The objective functions are total mass and flight time; thus this problem is a multiobjective optimization problem. Trade-on' curves are obtained from pareto sets. The plural purpose functions have a relation of the trade-off in many cases. The designer gets possible to grasp a trade-off between the purpose functions by watching the distribution of the pareto set of solutions. This research that the thrust direction is controlled. Moreover, suppose that coasting is performed by considering on-off of a thrust. The results when thrust is controlled and not controlled are compared.