TY - GEN
T1 - RBF adaptive sliding control for five-axis flexible satellite
AU - Ma, Zheng
AU - Wu, Yunjie
AU - Dong, Xiaomeng
N1 - Publisher Copyright:
© 2015 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2015/9/11
Y1 - 2015/9/11
N2 - With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.
AB - With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.
KW - adaptive RBF neural network
KW - five-axis satellite model
KW - flexible attachment
KW - sliding mode variable structure
UR - https://www.scopus.com/pages/publications/84946573051
U2 - 10.1109/ChiCC.2015.7260295
DO - 10.1109/ChiCC.2015.7260295
M3 - 会议稿件
AN - SCOPUS:84946573051
T3 - Chinese Control Conference, CCC
SP - 4245
EP - 4250
BT - Proceedings of the 34th Chinese Control Conference, CCC 2015
A2 - Zhao, Qianchuan
A2 - Liu, Shirong
PB - IEEE Computer Society
T2 - 34th Chinese Control Conference, CCC 2015
Y2 - 28 July 2015 through 30 July 2015
ER -