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This paper presents a new study of artificial intelligence applications through the simulation of improved control strategy to provide the mitigation concepts and formulate preventive actions for aircraft operation. The fuzzy-logic modeling (FLM) technique is used to establish flight control models with the function of nonlinear dynamic inversion based on the datasets from the flight data recorder (FDR). The improved control strategy can be obtained through the simulations of flight control models to enhance the stability and controllability before and during the severe atmospheric turbulence. Keywords-atmospheric turbulence; plunging motion; flight data recorder; nonlinear dynamic inversion

Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence