Leader-Follower Formation Control of a Large-Scale Swarm of Satellite System using the State-Dependent Riccati Equation: Orbit-to-Orbit and in-Same-Orbit Regulation
被引:1
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作者:
Nekoo, Saeed Rafee
论文数: 0引用数: 0
h-index: 0
机构:
Univ Seville, Dept Ingn Sistemas & Automat, GRVC Robot Lab, Escuela Tecn Super Ingn, Seville, SpainUniv Seville, Dept Ingn Sistemas & Automat, GRVC Robot Lab, Escuela Tecn Super Ingn, Seville, Spain
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
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2023年
关键词:
EARTH;
OPTIMIZATION;
TRACKING;
D O I:
10.1109/IROS55552.2023.10342383
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The state-dependent Riccati equation (SDRE) is a nonlinear optimal controller with a flexible structure which is one of the main advantages of this method. Here in this work, this flexibility is used to present a novel design for handling a soft constraint for state variables (trajectories). The concept is applied to a large-scale swarm control system, with more than 1000 agents. The control of the swarm satellite system is devoted to two modes of orbit-to-orbit and in-same-orbit cases. Keeping the satellites in one orbit in regulation (point-to-point motion) requires additional constraints while they are moving in Cartesian coordinates. For a small number of agents trajectory design could be done for each satellite individually, though, for a swarm with many agents, that is not practical. The constraint has been incorporated into the cost function of optimal control and resulted in a modified SDRE control law. The proposed method successfully controlled a swarm case of 1024 agents in leader-follower mode for orbit-to-orbit and in-same-orbit simulations. The soft constraint presented a percentage of 0.05 in the error of the satellites with respect to travel distance, in in-same-orbit regulation. The presented approach is systematic and could be performed for larger swarm systems with different agents and dynamics.