TY - GEN
T1 - A reaching law based neural network terminal sliding-mode guidance law design
AU - Jiang, Yifan
AU - Wang, Qing
AU - Dong, Chaoyang
PY - 2013
Y1 - 2013
N2 - A nonsingular terminal guidance law is proposed for dual-controlled missile with tails and reaction jets based on power rate reaching law and neural network terminal sliding mode control (TSMC). By combining nonsingular terminal sliding mode control (NTSMC) with power rate reaching law, the guidance law improves the reaching rate of system states to sliding surface with less control command. Also, it makes the line-of-sight (LOS) angular rate converge to zero in a finite time. The disturbance is compensated and monitored by using online learning neural network under consideration of model uncertainty and the effect of target maneuvering, the robustness of the control systems is therefore improved. Simulation results show that, the guidance law can make the system states converge to zero in a limited time, and can achieve better system performance in guaranteeing system robustness.
AB - A nonsingular terminal guidance law is proposed for dual-controlled missile with tails and reaction jets based on power rate reaching law and neural network terminal sliding mode control (TSMC). By combining nonsingular terminal sliding mode control (NTSMC) with power rate reaching law, the guidance law improves the reaching rate of system states to sliding surface with less control command. Also, it makes the line-of-sight (LOS) angular rate converge to zero in a finite time. The disturbance is compensated and monitored by using online learning neural network under consideration of model uncertainty and the effect of target maneuvering, the robustness of the control systems is therefore improved. Simulation results show that, the guidance law can make the system states converge to zero in a limited time, and can achieve better system performance in guaranteeing system robustness.
KW - guidance law
KW - neural network
KW - power rate reaching law
KW - terminal sliding-mode control
KW - uncertainty
UR - https://www.scopus.com/pages/publications/84894351548
U2 - 10.1109/TENCON.2013.6719024
DO - 10.1109/TENCON.2013.6719024
M3 - 会议稿件
AN - SCOPUS:84894351548
SN - 9781479928262
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
T2 - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Y2 - 22 October 2013 through 25 October 2013
ER -