Research on extended situation assessment of autonomous flight vehicle

Autonomous flight vehicle performs complex combat missions under significant uncertainties, which requires autonomous decision-making with consideration of mission success, strategic survival and flight safety. Performance capacity level (PCL) reveals the vehicle health state and combat capacity, which is the precondition and foundation of autonomous decision-making. Threat level reveals the effect from external environments. The detail definitions of extended situation assessment were given and the Bayesian belief network and fuzzy logic based algorithms were discussed. The PCL assessment model was developed to give the on-line result. An autonomous decision-making algorithm based on expert system was proposed to generate the proper decision according to the assessment results. The simulation results of PCL assessment and the corresponding decisions were analyzed to illustrate the reasonability and effectiveness of the algorithms.