Optimizing RLV Ascent Trajectory Using PSO Algorithms

摘要：

RLV (Reusable Launch Vehicle) ascent-trajectory optimization is a difficult problem due to the complexity of many physical constraints and optimization cost surfaces. In this paper, a heuristic technique based on a PSO (Particle Swarm Optimization) algorithm is used. The highly constrained nonlinear trajectory planning problem is decomposed into control parameters search problems, The algorithm is able to generate a complete and feasible ascent trajectory, given the ascent conditions, values of constraint parameters, and final conditions. Numerical simulation with a RLV model for ascent mission is presented to demonstrate the capability and effectiveness of the algorithm.

作者: He Chenglong Chen Xin Wu Leni

作者单位: College of Automation Engineering,NanJing University of Aeronautics and Astronautics Nanjing,210016,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 1335-1338

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）