TY - GEN
T1 - Observer based inverse optimal attitude stabilization control of spacecraft with uncertainties
AU - Li, Bo
AU - Hu, Qinglei
AU - Guo, Lei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - A novel Control Lyapunov Function (CLF) based robust inverse optimal control law incorporated with Extended State Observer (ESO) is proposed for spacecraft attitude stabilization under uncertainties in this paper. More specifically, an ESO is investigated to estimate all the states of the system, which is used to compensate specified total uncertainties including actuator/inertial uncertainties. And also the uniformly ultimately bounded stable in finite time of ESO is guaranteed via a rigorous Lyapunov analysis. Moreover, an inverse optimal CLF approach is presented to guarantee the asymptotically stable of the closed-loop system, and energy optimal/minimum performance index can be achieved simultaneously, which are proved utilizing CLF based analysis. The key feature of the proposed strategy is that it stabilizes asymptotically the closed-loop system from the point view of energy optimal with respect to a meaningful cost function, even in the presence of actuator and inertial uncertainties. Simulation results are presented to illustrate the performance of the proposed scheme.
AB - A novel Control Lyapunov Function (CLF) based robust inverse optimal control law incorporated with Extended State Observer (ESO) is proposed for spacecraft attitude stabilization under uncertainties in this paper. More specifically, an ESO is investigated to estimate all the states of the system, which is used to compensate specified total uncertainties including actuator/inertial uncertainties. And also the uniformly ultimately bounded stable in finite time of ESO is guaranteed via a rigorous Lyapunov analysis. Moreover, an inverse optimal CLF approach is presented to guarantee the asymptotically stable of the closed-loop system, and energy optimal/minimum performance index can be achieved simultaneously, which are proved utilizing CLF based analysis. The key feature of the proposed strategy is that it stabilizes asymptotically the closed-loop system from the point view of energy optimal with respect to a meaningful cost function, even in the presence of actuator and inertial uncertainties. Simulation results are presented to illustrate the performance of the proposed scheme.
UR - https://www.scopus.com/pages/publications/84922552435
U2 - 10.1109/CGNCC.2014.7007244
DO - 10.1109/CGNCC.2014.7007244
M3 - 会议稿件
AN - SCOPUS:84922552435
T3 - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
SP - 269
EP - 274
BT - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
Y2 - 8 August 2014 through 10 August 2014
ER -