李爽

个人信息Personal Information

教授

招生学科专业:
控制科学与工程 -- 【招收博士、硕士研究生】 -- 航天学院
航空宇航科学与技术 -- 【招收博士、硕士研究生】 -- 航天学院
电子信息 -- 【招收博士、硕士研究生】 -- 航天学院
机械 -- 【招收博士、硕士研究生】 -- 航天学院

毕业院校:哈尔滨工业大学

学历:哈尔滨工业大学

学位:工学博士学位

所在单位:航天学院

办公地点:江宁校区D11号楼A503

联系方式:025-84896039

电子邮箱:

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Integrated guidance for mars entry and powered descent using reinforcement learning and gauss pseudospectral method

点击次数:

所属单位:航天学院

发表刊物:Adv Astronaut Sci

摘要:Traditional studies on Mars entry, descent, and landing (EDL) usually take a divide- and-conquer approach where each phase is investigated separately. This paper proposes a new approach to achieve integrated guidance for mid-lift highmass human Mars entry and powered descent. The Gauss pseudospectral method is adopted to shape optimal entry trajectories and propellant-optimal powered descent guidance, respectively. According to the interaction between the entry trajectory and the propellant usage in the powered descent, reinforcement learning algorithm is employed to obtain the optimal integrated guidance. It is shown in this paper that appropriately integrating the working of the entry and powered descent guidance can bring great reduction in propellant consumption during high-mass Mars powered descent. Each of these two components and how they work together to reach the least propellant usage and pin-point landing are investigated in this paper. Numerical results are presented to demonstrate the effectiveness of the proposed method. © 2018 KASHYAP.

ISSN号:0065-3438

是否译文:

发表时间:2018-01-01

合写作者:Jiang, Xiuqiang,Furfaro, Roberto

通讯作者:李爽