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

Mars entry fault-tolerant control via neural network and structure adaptive model inversion

点击次数:

所属单位:航天学院

发表刊物:Adv. Space Res.

摘要:The capability of autonomous fault detection and reconstruction is essential for future manned Mars exploration missions. Considering actuator failures and atmosphere uncertainties, we present a new active fault-tolerant control algorithm for Mars entry by use of neural network and structure adaptive model inversion. First, the online BP neural network is adopted to conduct the fault detection and isolation. Second, based on the structure adaptive model inversion, an adaptive neural network PID controller is developed for Mars entry fault-tolerant control. The normal PID controller will be automatically switched into neural network PID controller when an actuator fault is detected. Therefore, the error between the reference model and the output of the attitude control system would be adjusted to ensure the dynamic property of the entry vehicle. Finally, the effectiveness of the algorithm developed in this paper is confirmed by computer simulation. © 2018 COSPAR

ISSN号:0273-1177

是否译文:

发表时间:2019-01-01

合写作者:Huang, Yixin,Sun, Jun

通讯作者:李爽