Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : September 25, 2019 - September 27, 2019
Space debris, which has been increasing recently in orbit around the Earth, should be removed for future space transports and developments. To carry out active space debris removals (ADR) by entering space debris to the Earth atmosphere. In such mission, the risk to the ground should be decreased in case debris reaches to the ground possibility including heavily populated areas. In addition, to increase the mission efficiency, the total energy of the space debris removal satellite throughout the mission, that was the total increment of the velocity, should be decreased. Thus, this study discussed the multi-objective optimizations considering the simultaneously minimizing of the total energy of the space debris removal satellite, passing area of the satellite over the ground and the populated area. Firstly, we proposed parametrization for risks on the ground. Then, multi-objective genetic algorithms were applied to solve problems. ADR results for three target debris which had different orbits was compared. According to the result, it was found that the minimization of the total energy of the satellite during the mission and the minimization of the risk on the ground showed the trade-off. In addition, results were depended on orbit of the target debris.
