@inproceedings{817fef0c0cf644aa9855efc8efe802a4,
title = "Iterative disturbance observer design for spacecraft fault-tolerant control with actuator failure",
abstract = "An observer-based fault-tolerant control scheme is developed for the attitude stabilization control of the rigid spacecraft in the presence of constants and time-varying actuator faults as well as external disturbances. The proposed iterative learning observer employs a learning mechanism to estimate the fault torque values combined with external disturbances, furthermore, the sign function and the revise term of angular velocity estimation error used in observer decrease the computing complexity and improve the estimation precision, respectively. The convergence of estimation error of composite disturbance signal consisting of actuator faults torque and external disturbances is guaranteed irrespective of the control torque or the initial attitude of the spacecraft. Some analyses of the proposed scheme are provided and numerical simulation studies are performed to verify the rapid and accurate convergence of estimation error and good robustness to external disturbances.",
keywords = "Actuator Faults, Attitude Stabilization, Fault-tolerant Control, Iterative Learning Disturbance Observer, Rigid Spacecraft",
author = "Guanglin Niu and Qinglei Hu and Lei Guo",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028864",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "9448--9453",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "美国",
}