Intelligent reconfigurable method and application for aircraft control system

In this paper we propose an intelligent adaptive retrofit reconfigurable controller in which the full system states are reliably measurable and available for feedback and diagnosis. The proposed approach retains the existing nominal controller and adds a suitably chosen signal that assures that the desired closed-loop performance is achieved despite the failure. The approach is based on the properties of the system controlled by the nominal controller, and judiciously chosen adaptation signals. Furthermore, some representative methods of intelligent reconfigurable control are introduced, especially intelligent fault diagnosis and intelligent reconfigurable control strategies based on adaptive neural networks and fuzzy reasoning has been discussed in details, which has ensure that the aircraft has retain its flying qualities to a satisfactory level even to the presence of severe control failures. The ability to control aircraft is shown by the simulation results with the intelligent reconfigurable controller using the adaptive fuzzy-neural reasoning of the aircraft.