DocumentCode :
3133789
Title :
Neural network based adaptive dynamic inversion flight control system design
Author :
Lili ; Hua-min, Zhang
Author_Institution :
Dept. of Aerial Instrum. & Electr. Eng., First Aeronaut. Inst. of Air Force, Xin Yang, China
Volume :
1
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
135
Lastpage :
137
Abstract :
This paper introduces a neutral network(NN) based adaptive dynamic inversion flight control system. Super-maneuverable flight control law adapts nonlinear inversion design; on-line learning neural networks are implemented to compensate inversion errors due to modeling error or actuator faults. Simulation results show that through adaptively compensating inversion error by neutral networks, the limitation of needing accurate mathematical model in dynamic inversion method is released and the robustness of the whole system is greatly enhanced.
Keywords :
adaptive control; aerospace control; control engineering computing; control system synthesis; neurocontrollers; nonlinear control systems; robust control; adaptive dynamic inversion flight control system; nonlinear inversion design; online learning neural networks; robustness; super-maneuverable flight control law; Adaptive systems; Aerodynamics; Aerospace control; Atmospheric modeling; Biological neural networks; Mathematical model; Nonlinear dynamical systems; adaptive control; dynamic inversion; flight control; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008215
Filename :
6008215
Link To Document :
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