Trajectory Optimization of the Ezploration of Asteroids Using Swarm Intelligent Algorithms

摘要：

With the rapid development of the aerospace technology, more and more attention has been focused on the deep space exploration. The advantages of low-thrust spacecraft bring both benefits and challenges in space explorations. At one time，a few asteroids are selected to be explored by the means of energy relation and phase relation. As a typical NP-HARD problem, trajectory optimization has become the hot point in aerospace research. Considering the limitation of classical local optimization algorithms, variant global optimization algorithms for trajectory optimization are applied in lots of literature. Based on the parameters optimization of low thrust and impulse maneuver, this paper investigates the DE, PSO, GA algorithms and generates two hybrid algorithms. The results in this paper indicate the validity and feasibility of the hybrid algorithms.

关键词： trajectory optimization low-thrust algorithm ezploration

作者: ZHU Kaijian LI Junfeng BAOYIN Hexi

作者单位: School of Aerospace, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: 2008 National Academic Symposium for Ph. D. Candidates and Tri-University Workshop on Aero-Structural Mechanics & Aerospace Engineering(NASPCTUWMAE2008)(2008年国际航天航空工程会议暨2008年博士生学术会议(力学))

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2008-10-23（万方平台首次上网日期，不代表论文的发表时间）