期刊文献+

飞翼布局无人机重构控制方法研究 被引量:1

Research on Flying-Wing Layout the UAV Reconfigurable Method
下载PDF
导出
摘要 飞翼布局无人机飞行空域大、飞行条件复杂、动压变化剧烈,尤其是在空战过程中,容易受到战斗损伤,发生部件故障,导致飞行品质下降甚至坠机。如何设计一种自修复飞行控制系统,使无人机在复杂飞行条件下,仍具有满意的飞行性能和操纵品质,并且在发生故障(舵面浮松、卡死和损伤等故障)时,仍然能够在线重构控制律,就显得非常有必要。本文结合国内外发展状况,对几种飞翼的重构控制方法进行了介绍和评述,对从事该领域的研究人员有一定的参考价值。 Unman aerial vehicle(UAV) fly in large aerospace,flying condition complex and dynamic pressure change greatly,especially,in the air combat process of easy to be damaged and parts fault,causing flying qualities decline even air crash.How design a self-repairing flight control system to make UCAV satisfactory flight Performance and steering quality.It is necessary to online reconstruct control law in the UAV go wrong(fault of the rudder loose,lock-in-place and damage etc).The paper combined with home and abroad development status to some advanced reconfigurable control method go on introducing and review,hope to have reference value to researchers of engage in the field.
作者 候梦雅
出处 《科技广场》 2010年第11期106-110,共5页 Science Mosaic
关键词 无人机 重构控制技术 自适应能力 非线性控制 UAV Reconfigurable Control Technique Adaptive Ability Nonlinear Control
  • 相关文献

参考文献21

  • 1Office of the Secretary of Defense.Unmanned Aircraft Systems Roadmap 2005-2030.WashingtonDC,2005.
  • 2Anonymous.Civil aviation safety data.Technical report,Civil Aviation of the Netherlands(CAA-NL),2003.
  • 3Passino,K.M."Intelligent Control for Autonomous Systems."IEEE Spectrum,1995.
  • 4Rauch H.E."Intelligent Fault Diagnosis and Control Reconfiguration."IEEE International Symposium Intelligent Control,1994.
  • 5刘亚,胡寿松.基于模糊模型的鲁棒自适应重构飞行控制[J].航空学报,2004,25(2):143-147. 被引量:11
  • 6Yong D.Song."Fault-tolerant and Reconfigurable Control of Unmanned Aerial Vehicles".Final Technical Report Yong D.Song,February 29,2008.
  • 7Jame M.Flight demonstration of the self-repairing flight control system in a NASA F-15 aircraft[R].AIAA-91-3106,1991.
  • 8Eslami,M.and Russell,D.L.,On stability with large parameter Variations:stemming from the direct method of Lyapunov,IEEE Trans.Automat.Contr.,vol.25,PP.1231-1234,1980.
  • 9Steward James F.Shuck Thomas L.Flight-testing of the self-repairing flight control system using the F-15 highly integrated digital electronic control flight research facility[R].AIAA-90-1321,1990.
  • 10Stewart JamesF,Shuek ThomasL.Flight-testing of the self-repairing flight control system using the F-15 highly integrated digital eleetronic control flight researeh facility.AIAA-90-1321,1990.

二级参考文献6

  • 1Park J, Sandberg I W. Universal approximation using radial basis function networks[J]. Neural Computation, 1991, 3(2):246-257.
  • 2Wilson J R, Jeff S S. Research on gain scheduling[J]. Automatica,2000,36(10):1401-1425.
  • 3Calise A, Rysdyk R. Nonlinear adaptive flight control using neural networks[J]. IEEE Control Systems Magazine, 1998, 18(6):14-25.
  • 4Li Y, Sundararajan N, Saratchandran P. Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks[J]. Automatica,2001,37(8):1293-1301.
  • 5Takagi T,Sugeno M. Fuzzy identification of systems and its applications to modeling and control[J]. IEEE Trans Syst,Man, Cybern,1985,SMC-15:116-163.
  • 6Guerra T M, Vermeriren L. Control law for takagi-sugeno fuzzy models[J]. Fuzzy Sets and System, 2001,120(1):95-108.

共引文献10

同被引文献13

引证文献1

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