TY - GEN
T1 - Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach
AU - Wang, Zi Peng
AU - Wu, Huai Ning
AU - Jiang, Bo
AU - Guo, Lei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.
AB - In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.
UR - https://www.scopus.com/pages/publications/84988287288
U2 - 10.1109/CDC.2014.7040452
DO - 10.1109/CDC.2014.7040452
M3 - 会议稿件
AN - SCOPUS:84988287288
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6770
EP - 6775
BT - 53rd IEEE Conference on Decision and Control,CDC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Y2 - 15 December 2014 through 17 December 2014
ER -