Parameters identification of UCAV flight control system based on predator-prey particle swarm optimization  

作　　者：DUAN HaiBin YU YaXiang ZHAO ZhenYu 

机构地区：[1]Science and Technology on Aircraft Control Laboratory,School of Automation Science and Electrical Engineering,Beihang University [2]Science and Technology on Electron-Optic Control Laboratory

出　　处：《Science China(Information Sciences)》2013年第1期117-128,共12页中国科学（信息科学）（英文版）

基　　金：supported by Natural Science Foundation of China (Grant Nos. 61273054,60975072,60604009);Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021);Aeronautical Foundation of China (Grant No. 20115151019)

摘　　要：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.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.

关 键 词：uninhabited combat aerial vehicle （UCAV） particle swarm optimization （PSO） parameters identification PREDATOR-PREY 

分 类 号：V249.122[航空宇航科学与技术—飞行器设计]