The Intelligent Autopilot System is an Automatic Flight Control System based on Artificial Intelligence which is capable of performing piloting tasks, and handling flight uncertainties such as severe weather conditions and emergency situations autonomously. The Intelligent Autopilot System learns how to perform piloting tasks, and the required skills from human teachers by applying the Learning by Demonstration concept with Artificial Neural Networks. The Intelligent Autopilot System is a potential solution to the current problem of Automatic Flight Control Systems of being unable to handle flight uncertainties, and the unfeasible requirement to anticipate all the flight uncertainty scenarios, and manually construct control models to handle them. The system utilizes a robust Learning from Demonstration approach which uses human pilots to demonstrate the task to be learned in a flight simulator while training datasets are captured from these demonstrations. The datasets are then used by Artificial Neural Networks to generate control models automatically. The control models imitate the skills of human pilots when handling piloting tasks including taxi, takeoff, cruise, following flight paths/course, and landing. The system also imitates the skills of human pilots when handling flight uncertainties and emergencies including severe weather conditions, engine(s) failure or fire, Rejected Take Off (RTO), emergency landing, and turnaround. A flight manager program decides which Artificial Neural Networks to be fired given the current condition.L'invention concerne un système de pilotage automatique intelligent qui est un système de commande de vol automatique basé sur une intelligence artificielle, qui est apte à effectuer des tâches de pilotage, et à gérer de manière autonome des incertitudes de vol telles que des mauvaises conditions météorologiques et des situations d'urgence. Le système de pilotage automatique intelligent apprend à effectuer des tâches de pilotage, et
