Design of fault tolerant controller in flight control system

In current research, a strategy is proposed for designing an error tolerant control system using a combination of adaptive neuralnetwork and backstepping method. Any defect in the flight control system may cause an irreparable problem. Typically, a highly reliable system with human decision-making power is used to prevent or correct such errors in a flying vehicle. The fault tolerant control system is designed to deal with various types of errors that may occur in the system. Fault-tolerant control systems are divided into two main parts. The first part is the error detection and isolation phase (FDI) and the second part is the control system design phase to overcome the error effects in the system, depending on the type of error and the location of the error, whether sensor, operator or components, the control system must be able to eliminate effects. In this paper, a neural-adaptive observer is used in the error detection stage and a backstepping method is used in the controller design stage. Finally, nonlinear six-degree-of-freedom simulation results for an F-18 aircraft model are presented to demonstrate the effectiveness of the proposed control law.