TY - GEN
T1 - Sliding mode control for electromagnetic satellite formation based on RBF neural network
AU - Lian, Kefei
AU - Dong, Yunfeng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/5
Y1 - 2016/12/5
N2 - In this paper, a radial basis function (RBF) neural network based sliding mode control is presented. Taking CW equation as dynamics model, the parameter perturbation and external disturbance has been considered. The controller consists of two parts, one is the feed-forward control, and the other is feedback sliding mode control using RBF neural network. Based on Lyapunov stability theory, the adaptive law of neural network has been obtained. Simulation results suggest that the control scheme can initialize the formation and maintain the relative motion according to the desired trajectory. The inherent chattering of sliding mode control has been weaken and the accuracy of trajectory tracking has greatly improved with the use of RBF neural network.
AB - In this paper, a radial basis function (RBF) neural network based sliding mode control is presented. Taking CW equation as dynamics model, the parameter perturbation and external disturbance has been considered. The controller consists of two parts, one is the feed-forward control, and the other is feedback sliding mode control using RBF neural network. Based on Lyapunov stability theory, the adaptive law of neural network has been obtained. Simulation results suggest that the control scheme can initialize the formation and maintain the relative motion according to the desired trajectory. The inherent chattering of sliding mode control has been weaken and the accuracy of trajectory tracking has greatly improved with the use of RBF neural network.
KW - Electromagnetic satellite
KW - Formation flight
KW - RBF neural network
KW - Sliding mode control
UR - https://www.scopus.com/pages/publications/85010383371
U2 - 10.1109/IMCCC.2016.134
DO - 10.1109/IMCCC.2016.134
M3 - 会议稿件
AN - SCOPUS:85010383371
T3 - Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
SP - 532
EP - 535
BT - Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
A2 - Li, Junbao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
Y2 - 21 July 2016 through 23 July 2016
ER -