TY - GEN
T1 - Satellite five-axis attitude control simulation based on BP neural network sliding mode controller
AU - Qin, Jiangchuan
AU - Dong, Xiaomeng
AU - Wu, Yunjie
AU - Wang, Jianmin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - To deal with the current high demand for the much more complex satellite control system with high precision, the requirements for the control algorithm become more and more critical. This paper targeted at satellite systems with cameras that capture targets. By simplifying the derivation of the Kane equations, Five-axis satellite dynamic model with flexible appendage impacts is drawn, then modeling CMGs to be the implementing agency for this satellite, adding integration module, whole system simulation model is got. This paper studies the optimizing parameters of sliding mode controller by BP neural network for satellite attitude control and the effect and precision can be greatly improved. It is verified that the intelligent algorithm applied to the parameters optimization of traditional controller can be used in satellite attitude control.
AB - To deal with the current high demand for the much more complex satellite control system with high precision, the requirements for the control algorithm become more and more critical. This paper targeted at satellite systems with cameras that capture targets. By simplifying the derivation of the Kane equations, Five-axis satellite dynamic model with flexible appendage impacts is drawn, then modeling CMGs to be the implementing agency for this satellite, adding integration module, whole system simulation model is got. This paper studies the optimizing parameters of sliding mode controller by BP neural network for satellite attitude control and the effect and precision can be greatly improved. It is verified that the intelligent algorithm applied to the parameters optimization of traditional controller can be used in satellite attitude control.
UR - https://www.scopus.com/pages/publications/84922572336
U2 - 10.1109/CGNCC.2014.7007270
DO - 10.1109/CGNCC.2014.7007270
M3 - 会议稿件
AN - SCOPUS:84922572336
T3 - 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014
SP - 480
EP - 485
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 -