曲阜师范大学学报（自然科学版）2026，Vol.52Issue(1)：49-55,7.DOI:10.3969/j.issn.1001-5337.202406.049
基于神经网络的航天器固定时间姿态容错控制
Fixed-time attitude fault-tolerant control of spacecraft based on neural network
摘要
Abstract
In this paper,a backstepping control method based on fixed-time control technology is de-signed to the spacecraft attitude output tracking control system in the presence of external disturbances.By introducing a radial basis function neural network(RBFNN),the approached method can enhance the tracking performance of the system.Firstly,the controller is designed by designing the virtual control in-puts and the fixed-time command filter.Secondly,an attitude control scheme is proposed for rigid space-craft based on the backstepping approach and RBFNN.Thirdly,the Lyapunov stability theorem is used to prove that the attitude tracking error and the angular velocity error converge in a fixed-time.Finally,nu-merical simulations are provided to verify the effectiveness of the proposed theoretical results.关键词
航天器/固定时间/神经网络/容错控制/反演控制Key words
space craft/fixed-time/neural network/fault-tolerant control/backstepping control分类
信息技术与安全科学引用本文复制引用
高艺,曹腾,王世豪,郭宝弟..基于神经网络的航天器固定时间姿态容错控制[J].曲阜师范大学学报（自然科学版）,2026,52(1):49-55,7.基金项目
国家自然科学基金(62303264) （62303264）
山东省自然科学基金(ZR2022QF021). （ZR2022QF021）
