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| 1 | Receding horizon control for multi-UAVs close formation control based on differential evolution显示文摘Close formation flight is one of the most complicated problems on multi-uninhabited aerial vehicles (UAVs) coordinated control. Based on the nonlinear model of multi-UAVs close formation, a novel type of control strategy of using hybrid receding horizon control (RHC) and differential evolution algorithm is proposed. The issue of multi-UAVs close formation is transformed into several on-line optimization problems at a series of receding horizons, while the differential evolution algorithm is adopted to optimize control sequences at each receding horizon. Then, based on the Markov chain model, the convergence of differential evolution is proved. The working process of RHC controller is presented in detail, and the stability of close formation controller is also analyzed. Finally, three simulation experiments are performed, and the simulation results show the feasibility and validity of our proposed control algorithm. | ZHANG XiangYin, DUAN HaiBin & YU YaXiang National Key Laboratory of Science and Technology on Holistic Control, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China | 2010 | Science China(Information Sciences)2010，53，2： | 22 |
| 2 | A Predator-prey Particle Swarm Optimization Approach to Multiple UCAV Air Combat Modeled by Dynamic Game Theory显示文摘Dynamic game theory has received considerable attention as a promising technique for formulating control actions for agents in an extended complex enterprise that involves an adversary. At each decision making step, each side seeks the best scheme with the purpose of maximizing its own objective function. In this paper, a game theoretic approach based on predatorprey particle swarm optimization(PP-PSO) is presented, and the dynamic task assignment problem for multiple unmanned combat aerial vehicles(UCAVs) in military operation is decomposed and modeled as a two-player game at each decision stage. The optimal assignment scheme of each stage is regarded as a mixed Nash equilibrium, which can be solved by using the PP-PSO. The effectiveness of our proposed methodology is verified by a typical example of an air military operation that involves two opposing forces: the attacking force Red and the defense force Blue. | Haibin Duan Pei Li Yaxiang Yu | 2015 | IEEE/CAA Journal of Automatica Sinica2015，2，1： | 19 |
| 3 | Trophallaxis network control approach to formation flight of multiple unmanned aerial vehicles显示文摘A novel network control method based on trophallaxis mechanism is applied to the formation flight problem for multiple unmanned aerial vehicles(UAVs).Firstly,the multiple UAVs formation flight system based on trophallaxis network control is given.Then,the model of leader-follower formation flight with a virtual leader based on trophallaxis network control is presented,and the influence of time delays on the network performance is analyzed.A particle swarm optimization(PSO)-based formation controller is proposed for solving the leader-follower formation flight system.The proposed method is applied to five UAVs for achieving a 'V' formation,and a series of experimental results show its feasibility and validity.The proposed control algorithm is also a promising control strategy for formation flight of multiple unmanned underwater vehicles(UUVs),unmanned ground vehicles(UGVs),missiles and satellites. | DUAN HaiBin LUO QiNan YU YaXiang | 2013 | Science China(Technological Sciences)2013，56，5： | 16 |
| 4 | Parameters identification of UCAV flight control system based on predator-prey particle swarm optimization显示文摘With the improvement of the aircraft flight performance and development of computing science,uninhabited combat aerial vehicle(UCAV) could accomplish more complex tasks.But this also put forward stricter requirements for the flight control system,which are the crucial issues of the whole UCAV system design.This paper proposes a novel UCAV flight controller parameters identification method,which is based on predator-prey particle swarm optimization(PSO) algorithm.A series of comparative experimental results verify the feasibility and effectiveness of our proposed approach in this paper,and a predator-prey PSO-based software platform for UCAV controller design is also developed. | DUAN HaiBin YU YaXiang ZHAO ZhenYu | 2013 | Science China(Information Sciences)2013，56，1： | 5 |
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