Neural network based adaptive dynamic inversion flight control system design

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.