Optimal obstacle avoidance consensus formation control method for fixed-wing UAV with variable topology

被引:1
作者
Yu D. [1 ]
Zhou P. [1 ]
Jing Y. [1 ]
机构
[1] School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Dongchuan, RD. 800, Shanghai
基金
中国国家自然科学基金;
关键词
Consensus algorithm; Formation control; Obstacle avoidance; Optimal control; Variable topology;
D O I
10.1007/s42401-021-00119-5
中图分类号
学科分类号
摘要
Aiming at the problems of control consumption, obstacle avoidance and topology change of multi-UAV formation control, a variable topology optimal obstacle avoidance consensus formation control method for multi-UAV system is proposed in this paper. First, a nonlinear model of the fixed-wing UAV is established, which is simplified to a second-order integral model by feedback linearization method. Then, a basic consensus control protocol is designed based on graph theory for obstacle-free formation control. On this basis, considering control consumption and topology change comprehensively, a variable topology optimal consensus algorithm is proposed to achieve the consensus of position and velocity information with minimum control consumption. In addition, considering the improved artificial potential field function in the obstacle environment, the optimal consensus algorithm of obstacle avoidance is obtained. Then, the stability of the proposed method is proved by the Lyapunov stability theory. Finally, the effectiveness of the proposed method is verified by numerical simulation, and the multi-UAV system can achieve the desired flight formation with the minimum control cost under the condition of variable topology and obstacles. © 2021, Shanghai Jiao Tong University.
引用
收藏
页码:75 / 84
页数:9
相关论文
共 23 条
[1]  
Zhang J., Yan J., Zhang P., Control of formation reconstruction for multi-aircraft formation based on backstepping inference method, Chin J Aeronaut, 40, (2019)
[2]  
Olfati-Saber R., Murray R.M., Consensus problems in networks of agents with switching topology and time-delays, IEEE Transactions on Automatic Control, 49, pp. 1520-1533, (2004)
[3]  
Ren W., Consensus based formation control strategies for multi-vehicle systems. American Control Conference, (2006)
[4]  
Ren W., Consensus strategies for cooperative control of vehicle formations, IET Control Theory Appl, 1, pp. 505-512, (2007)
[5]  
Lynch N.A., Distributed algorithms, (1996)
[6]  
Cao Y., Ren W., Optimal linear-consensus algorithms: an LQR perspective, IEEE Trans Syst Man Cybern Part B, 40, (2010)
[7]  
Moreau L., Stability of multi-agent systems with time dependent communication links, IEEE Trans Autom Control, 50, pp. 169-182, (2005)
[8]  
Moore K., Lucarelli D., Forced and constrained consensus among cooperating agents, IEEE Netw Sens Control Tucson, (2005)
[9]  
Ma Z., Wang Y., Li X., Cluster-delay consensus in first order multi-agent systems with nonlinear dynamics, Nonlinear Dyn, 83, pp. 1303-1310, (2016)
[10]  
Gao Y., Liu B., Yu J., Consensus of first-order multi-agent systems with intermittent interaction, Neurocomputing, 129, pp. 273-278, (2014)