TY - GEN
T1 - Agent-based distributed formation tracking adaptive collaborative control simulation system
AU - Zhao, Ying Hong
AU - Wang, Yan Kai
AU - Zhang, Chong
PY - 2013
Y1 - 2013
N2 - Collaboration of multi-satellite system has a good application effect in the global remote sensing and three-dimensional observations field. Develop collaborative multi-satellite formation flight simulation system based on HLA is of great significance for the study of complex formation change process in the multi-satellite formation flying. We first design the collaborative multi-satellite formation flight simulation system based on HLA, then study the application of Agent-based modeling technology in the collaborative of multi-satellite formation flight simulation. The key technologies involved the establishment of the satellite relative kinetic model and formation remains adaptive control problem. Therefore, we have designed a state-space model identification-based adaptive decoupling generalized minimum variance controller to solve the problem of precise control of the system. Digital simulation results show that the adaptive control method based on state space model identification can track the desired trajectory in the presence of unknown environmental disturbances and measurement noise and the simulation system can effectively verify Multi-satellite collaborative control method at the same time.
AB - Collaboration of multi-satellite system has a good application effect in the global remote sensing and three-dimensional observations field. Develop collaborative multi-satellite formation flight simulation system based on HLA is of great significance for the study of complex formation change process in the multi-satellite formation flying. We first design the collaborative multi-satellite formation flight simulation system based on HLA, then study the application of Agent-based modeling technology in the collaborative of multi-satellite formation flight simulation. The key technologies involved the establishment of the satellite relative kinetic model and formation remains adaptive control problem. Therefore, we have designed a state-space model identification-based adaptive decoupling generalized minimum variance controller to solve the problem of precise control of the system. Digital simulation results show that the adaptive control method based on state space model identification can track the desired trajectory in the presence of unknown environmental disturbances and measurement noise and the simulation system can effectively verify Multi-satellite collaborative control method at the same time.
KW - Agent-based modeling
KW - Formation remain control
KW - HLA-based simulation system
UR - http://www.scopus.com/inward/record.url?scp=84884838505&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.380-384.313
DO - 10.4028/www.scientific.net/AMM.380-384.313
M3 - Conference contribution
AN - SCOPUS:84884838505
SN - 9783037858202
T3 - Applied Mechanics and Materials
SP - 313
EP - 316
BT - Vehicle, Mechatronics and Information Technologies
T2 - 2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013
Y2 - 17 August 2013 through 18 August 2013
ER -