Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control

ZHANG Mingtao; AN Jinwen

Volume 39 Issue 5

Oct. 2010

Turn off MathJax

Article Contents

Abstract

References

INFORMATION AND CONTROL > 2010 > 39(5): 588-595.

ZHANG Mingtao, AN Jinwen. Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control[J]. INFORMATION AND CONTROL, 2010, 39(5): 588-595.

Citation:

ZHANG Mingtao, AN Jinwen. Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control[J]. INFORMATION AND CONTROL, 2010, 39(5): 588-595.

Citation:

ZHANG Mingtao, AN Jinwen. Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control[J]. INFORMATION AND CONTROL, 2010, 39(5): 588-595.

Aircraft Movement Modelling under Control Surface Failure and Analysis and Design of Reconfigurable Flight Control

ZHANG Mingtao^,,
AN Jinwen

College of Automation, Northwestern Polytechnical University, Xi'an 710072, China

More Information

Received Date: October 08, 2009
Revised Date: March 25, 2010
Published Date: October 19, 2010

Graphical Abstract

Abstract

Abstract

The mechanism that the control surface failure affects the movement of aircraft is investigated,and the movement modelling under control surface failure is systemically expounded.The reconfigurability of the faulted system is researched based on modelling.Two methods are introduced to assess the level of reconfigurability.One is deduced from linear system theory,and the other is defined from the opinion of physical movement.The learning algorithm of propagation forward neural network which is adopted in control system design is proved.In this propagation forward neural network,the error is back propagating.A novel architecture of reconfigurable flight control that introduces back propagation neural network to compensate the normal controller is proposed.Simulation on the controller with nonlinear aircraft movement model shows the reconfigurable control system operates well.
- failure,
- movement modelling,
- reconfigurable control,
- reconfigurability,
- neural network

FullText(HTML)

References (9)

References

[1]	张明涛,安锦文,李中健.重构飞行控制技术研究综述[J].飞行力学,2009,27(2):7-10,15.Zhang Mingtao,An Jinwen,Li Zhongjian.Survey of reconfigurable flight control[J].Flight Dynamics,2009,27(2):7-10,15
[2]	Boskovic J D,Prasanth R,Mehra R K.Retrofit fault-tolerant flight control design under control effector damage[J].Journal of Guidance,Control,and Dynamics,2007,30(3):703-712
[3]	Page A B,Meloney D E.Hight testing of a retrofit reconfigurable control law architecture using F/A-18C[R].Reston,VA,USA:AIAA,2006
[4]	Monaco J F,Ward D G,Bateman A J D.A retrofit architecture for model-based adaptive flight control[R].Reston,VA,USA:AIAA,2004
[5]	Perhinschi M G,Campa G,Napolitano M R,et al.Modelling and simulation of a fault-tolerant flight control system[J].International Journal of Modelling and Simuiation,2006,26(1):1-10
[6]	吴森常,费玉华.飞行控制系统[M].北京:北京航空航天大学出版社,2005.Wu Sentang,Fei Yuhua.Flight control system[M].Beijing:Beijing University of Aeronautics and Astronautics Press,2005
[7]	Moon G,Lee H,Kim Y.Reconfigurable flight control law based on model following scheme and parameter estimation[R].Reston,VA,USA:AIAA,2005
[8]	Wu N E,Zhou K M,Salomon G.Control reconfigurability of linear time-invariant systems[J].Automatica,2000,36(11):1767-1771
[9]	舒怀林.PID神经元网络及其控制系统[M].北京:国防工业出版社,2006.Shu Huailin.PID neural networks and its control system[M].Beijing:National Defense Industry Press,2006.