Airborne Assessment of Carrier Aircraft Landing Situation Based on Bayesian Belief Networks and Fuzzy Inference

In complex environment,timely and exact situation assessment is important to carrier aircraft landing.Health condition of the carrier aircraft is the foundation of flight,and the landing ability is reflected by the tracking performance of the flight control system.The concept of airborne landing situation assessment was given,and the airborne landing situation assessment system was developed to generate qualitative and quantitative results for decision-making.The health condition and tracking performance assessment algorithms respectively based on Bayesian belief networks and fuzzy inference were proposed.Finally,simulation results illustrated the rationality and validity of the system.