Multi-UAV coordination control by chaotic grey wolf optimization based distributed MPC with event-triggered strategy

• 作者: Jiang ZHAO Kun WU Tian ZHANG Yingxun WANG Zhihao CAI
• 来源期刊: 中国航空学报（英文版）
• 年，卷（期）: 2020,（11）
• 所属期刊栏目: Review and Article
• 页码范围: 2877-2897
• 页数: 21页
• 语种: 英文

摘要

The paper proposes a new swarm intelligence-based distributed Model Predictive Con-trol (MPC) approach for coordination control of multiple Unmanned Aerial Vehicles (UAVs). First, a distributed MPC framework is designed and each member only shares the information with neighbors. The Chaotic Grey Wolf Optimization (CGWO) method is developed on the basis of chaotic initialization and chaotic search to solve the local Finite Horizon Optimal Control Problem (FHOCP). Then, the distributed cost function is designed and integrated into each FHOCP to achieve multi-UAV formation control and trajectory tracking with no-fly zone constraint. Further, an event-triggered strategy is proposed to reduce the computational burden for the distributed MPC approach, which considers the predicted state errors and the convergence of cost function. Simulation results show that the CGWO-based distributed MPC approach is more computationally efficient to achieve multi-UAV coordination control than traditional method.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Yingxun WANG		1	0	0.0	0.0
2	Tian ZHANG		1	0	0.0	0.0
3	Zhihao CAI		1	0	0.0	0.0
4	Jiang ZHAO		2	0	0.0	0.0
5	Kun WU		1	0	0.0	0.0