Skip to Main Content
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.
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on (Volume:1 )
Date of Conference: 25-28 July 2011