Fault-Tolerant Control for Carrier-Based UAV Based on Sliding Mode Method

To enable a carrier-based unmanned aerial vehicle (UAV) to track the desired glide trajectory and safely land on deck with presence of system faults, this paper proposes neural network-based adaptive sliding mode fault-tolerant control (NASFTC) method. Firstly, dynamic model carrier -based UAV, actuator fault model, additional unknown framework automatic landing (ACLS) were developed. Subsequently, controllers for both longitudinal lateral channels designed by using NASFTC The controller consists three parts: laws compensating RBF network method ensuring overall tracking. Then, Lyapunov function theorem was applied carry out stability analysis. Finally, comparative simulations under different scenarios conducted. results show effectiveness proposed method, which has ability can successfully aircraft execute task regardless partial loss fault.