期刊文献+

无人机空中加油自主编队控制器设计 被引量:1

Design of UAV autonomous controller for formation in aerial refueling
在线阅读 下载PDF
导出
摘要 针对自主空中加油(AAR)任务中的飞行器编队形成问题,提出了一个完整的自主控制器方案。采用基于视线的编队制导律控制队形,产生制导指令。针对加油编队过程中产生的模型误差和尾涡扰动等不确定性,基于RBF神经网络和自适应Backstepping方法,设计了UAV姿态和速度非线性控制律来在线逼近和补偿不确定性,保证系统的鲁棒性和稳定性。使用协调转弯方式将航迹角指令转换为姿态指令,以实现控制律对航迹角指令的精确跟踪。最后,仿真结果验证了制导律和控制律的有效性。 An integrated autonomous control scheme is presented for the UAV formation in autonomous aerial refueling(AAR) mission.The formation guidance law is designed based on line-of-sight to generate guidance commands.Aiming at the uncertainty generated by model errors and wake vortex,a nonlinear adaptive control law of attitude and velocity is designed to approximate and compensate the uncertainty by using the RBFNN and adaptive backstepping method,which can guarantee the robustness and stability of system.Using a turn coordination,the guidance commands are transformd into attitude commands which can be tracked by the control law accurately.Finally,the simulation result demonstrates the effectiveness of the presented guidance law and control law.
出处 《飞行力学》 CSCD 北大核心 2010年第6期36-40,共5页 Flight Dynamics
基金 航空科学基金(2008ZC01006)
关键词 自主空中加油 编队 RBF神经网络 反推 自适应 autonomous aerial refueling formation RBFNN backstepping adaptive
  • 相关文献

参考文献11

  • 1Nalepka J P,Hinchman J L.Automated aerial refueling:extending the effectiveness of unmanned air vehicles[R].AIAA 2005-6005,2005.
  • 2董新民,徐跃鉴,陈博.自动空中加油技术研究进展与关键问题[J].空军工程大学学报(自然科学版),2008,9(6):1-5. 被引量:62
  • 3Tahk M J,Park C S,Ryoo C K.Line-of-sight guidance laws for formation flight[J].Journal of Guidance,Con-trol,and Dynamics,2005,28 (4):708-716.
  • 4Price C R.The virtual UAV leader[R].AIAA 2007-2785,2007.
  • 5Leonard N E,Fiorello E.Virtual leader,artificial poten-rials and coordinated control of groups[C]//IEEE.Pro-ceedings of the 40th IEEE Conference on Decision and Control.New York:IEEE,2001:2968-2973.
  • 6Krstic M,Kanellakopoulos I,Kokotovic,P.Nonlinear and adaptive control design[M].New York:Wiley,1995.
  • 7Robinson J W C,Nilsson U.Design of a nonlinear autopi-lot for velocity and attitude control using block baekstep-ping[R].AIAA 2005-6266,2005.
  • 8周丽,姜长生,文杰.超机动飞行的非线性鲁棒自适应控制系统研究[J].系统工程与电子技术,2008,30(4):710-714. 被引量:12
  • 9Harkegard O.Vector backstepping design for flight control[R].AIAA 2007-6421,2007.
  • 10Stevens B L,Lewis F L.Aircraft control and simulation[M].New York:Wiley,1992.

二级参考文献36

  • 1胡云安,晋玉强,张友安,崔平远.基于神经网络的严反馈块非线性系统的鲁棒控制[J].控制与决策,2004,19(7):808-812. 被引量:14
  • 2董文瀚,孙秀霞,林岩.反推自适应控制的发展及应用[J].控制与决策,2006,21(10):1081-1086. 被引量:33
  • 3Li Y, Qiang S, Zhuang X, et al. Robust and adaptive backstep ping control for nonlinear systems using RBF neural networks[J]. IEEE Trans. Neural Networks, 2004, 15 (3) : 693 - 201.
  • 4Du H, Shao H, Yao, P. Adaptive neural network control for a class of low-triangular-structured nonlinear systems[J]. IEEE Trans, Neural Networks, 2006, 17(2): 509-514.
  • 5Ding Z. Universal disturbance rejection for nonlinear systems in output feedback form [J]. IEEE Trans. Automat. Contr. , 2003, 48 (7): 1222-1227.
  • 6Du H, Shao H, Yao P. Adaptive neural network control for a class of low-triangular-structured nonlinear systems[J]. IEEE Trans. Neural Networks, 2006, 17 (2):509-514.
  • 7Ge S S, Wang C. Adaptive neural control of uncertain MIMO nonlinear systems[J]. IEEE Trans. Neural Networks, 2004, 15(3):674-692.
  • 8Ge S S, Zhang J, Lee T H. Adaptive neural network control for a class of MIMO nonlinear systems with disturbances in discrete- Time[J]. IEEE Trans. Syst., Man, Cybern, 2004, 34 (4): 1630 - 1645.
  • 9Chen, Liu X B, Tong S. Adaptive fuzzy output tracking control of MIMO nonlinear uncertain systems[J]. IEEE Trans. Fuzzy Syst. , 2007, 15 (2), 287-299.
  • 10Snell S A, Enns D F,. Garrard W L. Nonlinear inversion flight control for a supermaneuverable aircraft[J]. Journal of Guidance, Control, and Dynamics, 1992, 15(4) : 976 - 984.

共引文献82

同被引文献84

  • 1张正中,文晓辉.某飞机空中加油系统试飞的摄像测试技术[J].地理空间信息,2004,2(6):26-28. 被引量:2
  • 2吕美茜,程存虎,张正中,文晓辉.机载视频测试技术在空中加油试飞中的应用[J].测控技术,2005,24(10):53-56. 被引量:6
  • 3孙明轩,黄宝健.迭代学习控制[M].北京:国防工业出版社,1995.
  • 4Bennington M A, Visser K D. Aerial refueling implica- tions for commercial aviation[J]. Journal of Aircraft, 2005, 42(2): 366-375.
  • 5Ward E F, Calif S A. Hose and drogue boom refueling system, for aircraft: USA, US5573206[P]. 1996-11-12.
  • 6Cambone S A, Krieg K J, Pace P, et al. Unmanned aircraft systems roadmap, 2005-2030 [R]. Washington, D. C. : Office of the Secretary of Defense, Department of Defense of the United States of America, 2005.
  • 7Dogan A, Blake W, Haag C. Bow wave effect in aerial re- fueling: computational analysis and modeling[J]. Journal of Aircraft, 2013, 50(6): 1856-1868.
  • 8Bhandari U, Thomas P R, Bullock S, et al. Bow wave effect in probe and drogue aerial refueling, AIAA-2013- 4695[R]. Reston: AIAA, 2013.
  • 9Dibley R P, Allen M J, Nabaa N. Autonomous airborne refueling demonstration phase I flight-test results, AIAA- 2007-6639[R]. Reston: AIAA, 2007.
  • 10Ro K, Kuk T, Kamman J W. Active control of aerial re- fueling hose-drogue systems, AIAA-2010-8400[R]. Re- ston: AIAA, 2010.

引证文献1

二级引证文献64

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部