国家自然科学基金(60604009)

作品数：24被引量：404H指数：15
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Trophallaxis network control approach to formation flight of multiple unmanned aerial vehicles被引量：17
《Science China(Technological Sciences)》2013年第5期1066-1074,共9页DUAN HaiBin LUO QiNan YU YaXiang 
supported by the National Natural Science Foundation of China(Grant Nos.61273054,60975072 and 60604009);the National Basic Research Program of China("973"Project)(Grant No.2013CB035503);the Program for New Century Excellent Talents in University of China(Grant No.NCET-10-0021);the Aeronautical Foundation of China(Grant No.20115151019)
A novel network control method based on trophaUaxis mechanism is applied to the formation flight problem for multiple un- manned aerial vehicles （UAVs）. Firstly, the multiple UAVs formation flight system based on tr...
关键词：unmanned aerial vehicle （UAV） trophaHaxis network control formation flight particle swarm optimization （PSO） 
Pendulum-like oscillation controller for micro aerial vehicle with ducted fan based on LQR and PSO被引量：9
《Science China(Technological Sciences)》2013年第2期423-429,共7页DUAN HaiBin SUN ChangHao 
supported by the National Natural Science Foundation of China (Grant Nos. 61273054,60975072,60604009);the Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021);the Aeronautical Foundation of China (Grant No. 20115151019);the Opening Foundation of State Key Laboratory of Virtual Reality Technology and Systems of China (Grant No. VR-2011-ZZ-01)
This paper describes a novel type of pendulum-like oscillation controller for micro air vehicle(MAV) hover and stare state in the presence of external disturbances,which is based on linear-quadratic regulator(LQR) and...
关键词：micro air vehicle （MAV） pendulum-like oscillation linear-quadratic regulator （LQR） particle swarm optimization （PSO） 
Parameters identification of UCAV flight control system based on predator-prey particle swarm optimization被引量：5
《Science China(Information Sciences)》2013年第1期117-128,共12页DUAN HaiBin YU YaXiang ZHAO ZhenYu 
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)
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 requirem...
关键词：uninhabited combat aerial vehicle （UCAV） particle swarm optimization （PSO） parameters identification PREDATOR-PREY 
Progress in control approaches for hypersonic vehicle被引量：25
《Science China(Technological Sciences)》2012年第10期2965-2970,共6页DUAN HaiBin LI Pei 
supported by the National Natural Science Foundation of China (Grant Nos. 61273054,60975072,60604009);the Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021);the Aeronautical Foundation of China (Grant No. 20115151019);the Open Fund of the State Key Laboratory of Virtual Reality Technology and Systems (Grant No. VR-2011-ZZ-01)
The controller design for hypersonic vehicle is critical and challenging because of the inherent couplings between the propulsion system and the airframe dynamics,as well as the presence of strong flexibility effects....
关键词：hypersonic vehicle robust control adaptive control fuzzy control sliding mode control inherent coupling 
Path planning of unmanned aerial vehicle based on improved gravitational search algorithm被引量：20
《Science China(Technological Sciences)》2012年第10期2712-2719,共8页LI Pei DUAN HaiBin 
supported by the National Natural Science Foundation of China (Grant Nos. 60975072,60604009);the Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021);the Aeronautical Foundation of China (Grant No. 20115151019);the Fundamental Research Funds for the Central Universities of China
Path planning of Uninhabited Aerial Vehicle(UAV) is a complicated global optimum problem.In the paper,an improved Gravitational Search Algorithm(GSA) was proposed to solve the path planning problem.Gravitational Searc...
关键词：uninhabited aerial vehicle path planning gravitational search algorithm social information weighted value selection rules 
Multiple UAVs/UGVs heterogeneous coordinated technique based on Receding Horizon Control (RHC) and velocity vector control被引量：15
《Science China(Technological Sciences)》2011年第4期869-876,共8页DUAN HaiBin ZHANG YunPeng LIU SenQi 
supported by the National Natural Science Foundation of China (Grant Nos. 60975072 and 60604009);Aeronautical Science Foundation of China (Grant No. 2008ZC01006);Program for New Century Excellent Talents in University of China (Grant No. NCET-10-0021);the Fundamental Research Funds for the Central Universities of China (Grant No. YWF-10-01-A18);Beijing NOVA Program Foundation (Grant No. 2007A017);open Fund of the State Key Laboratory of Virtual Reality Technology and Systems;Open Fund of the Provincial Key Laboratory for Information Processing Technology, Suzhou University, China (Grant No. KJS1020)
Multiple unmanned air vehicles(UAVs)/unmanned ground vehicles(UGVs) heterogeneous cooperation provides a new breakthrough for the effective application of UAV and UGV.On the basis of introduction of UAV/UGV mathematic...
关键词：unmanned air vehicle （UAV） unmanned ground vehicle （UGV） Receding Horizon Control （RHC） Particle Swarm Optimization （PSO） velocity vector control 
New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle被引量：34
《Science China(Technological Sciences)》2010年第8期2025-2031,共7页DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key Laboratory of Science and Technology on Holistic Flight Control,School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight Control Department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s System Engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China 
supported by the National Natural Science Foundation of China(Grant Nos.60975072,60604009);the Aeronautical Science Foundation of China(Grant No.2008ZC01006);Beijing NOVA Program Foundation(Grant No.2007A017);the Fundamental Research Funds for the Central Universities(Grant No.YWF-10-01-A18);the Program for New Century Excellent Talents in University of China(Grant No.NCET-10-0021)
Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and h...
关键词：BIO-INSPIRED INTELLIGENCE unmanned COMBAT aerial vehicle(UCAV) artificial brain autonomous CONTROL bayesian network BIO-INSPIRED hardware heterogeneous cooperative CONTROL 
Unmanned air/ground vehicles heterogeneous cooperative techniques:Current status and prospects被引量：18
《Science China(Technological Sciences)》2010年第5期1349-1355,共7页DUAN HaiBin & LIU SenQi National Key Laboratory of Science and Technology on Holistic Flight Control,School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China 
supported by the National Natural Science Foundation of China (Grant Nos.60975072 and 60604009);the Program for New Century Excellent Talents in University of China (Grant No.NCET-10-0021);the Beijing NOVA Program Foundation (Grant No.2007A017)
Multiple unmanned air/ground vehicles heterogeneous cooperation is a novel and challenging filed.Heterogeneous cooperative techniques can widen the application fields of unmanned air or ground vehicles,and enhance the...
关键词：unmanned AIR vehicle(UAV) unmanned ground vehicle(UGV) HETEROGENEOUS COOPERATION 
Receding horizon control for multi-UAVs close formation control based on differential evolution被引量：23
《Science China(Information Sciences)》2010年第2期223-235,共13页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 
supported by the National Natural Science Foundation of China (Grant Nos. 60975072, 60604009);Aeronautical Science Foundation (Key Program) of China (Grant No. 2008ZC01006);Program for New Century Excellent Talents in University (NCET) of China;"Beijing NOVA Program" Foundation of China (GrantNo. 2007A0017)
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 str...
关键词：uninhabited aerial vehicle （UAV） close formation receding horizon control （RHC） differential evolution （DE） Markov chain 
区域极点约束下不确定系统鲁棒非脆弱H_∞控制被引量：1
《南京大学学报（自然科学版）》2009年第4期499-507,共9页王宏强 王道波 段海滨 马国梁 
国家自然科学基金(60604009);航空科学基金(2006ZC51039);中国博士后科学基金
多目标控制是控制系统工程领域近年来的研究热点问题,用于解决在若干个相互矛盾的目标存在的情况下如何得到一个能够满足多方面要求的解决方案.考虑到对闭环系统的鲁棒性、非脆弱性、干扰抑制性能以及动态响应特性等多方面控制目标要求...
关键词：鲁棒控制 非脆弱控制 干扰抑制 区域极点配置 线性矩阵不等式 
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