TY - GEN
T1 - Adaptive fault tolerant attitude control of a stratospheric airship with input saturation
AU - Liang, Zhaoxin
AU - Zheng, Zewei
AU - Zhu, Ming
AU - Wu, Zhe
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/4
Y1 - 2017/8/4
N2 - In this work, an adaptive fault tolerant control method is proposed to address the problem of attitude tracking for stratospheric airship with both multiplicative and additive actuator faults. Input saturation for control surfaces are also considered and an auxiliary system is designed to deal with the saturation. Both multiplicative and additive actuator faults are estimated by a specific adaption law. Stability analysis, which is based on the Lyapunov stability theorem, shows that under the proposed control system, the estimate errors of actuator faults are bounded during operations. Simulations on a stratospheric airship attitude tracking control are presented to illustrate the effectiveness of the designed algorithm.
AB - In this work, an adaptive fault tolerant control method is proposed to address the problem of attitude tracking for stratospheric airship with both multiplicative and additive actuator faults. Input saturation for control surfaces are also considered and an auxiliary system is designed to deal with the saturation. Both multiplicative and additive actuator faults are estimated by a specific adaption law. Stability analysis, which is based on the Lyapunov stability theorem, shows that under the proposed control system, the estimate errors of actuator faults are bounded during operations. Simulations on a stratospheric airship attitude tracking control are presented to illustrate the effectiveness of the designed algorithm.
UR - https://www.scopus.com/pages/publications/85029897915
U2 - 10.1109/ICCA.2017.8003101
DO - 10.1109/ICCA.2017.8003101
M3 - 会议稿件
AN - SCOPUS:85029897915
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 443
EP - 448
BT - 2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PB - IEEE Computer Society
T2 - 13th IEEE International Conference on Control and Automation, ICCA 2017
Y2 - 3 July 2017 through 6 July 2017
ER -