Synthesis of Adaptive Neuro-Fuzzy Control Algorithmsfor a Class of Autonomous Aerial Vehicles

Autonomous flying devices (AFDs) in the Navy are modern flying devices widely used in the military sector as the flying device changes speed and altitude, its kinematic characteristics vary significantly, requiring a controller capable of adapting to these changes. Therefore, this paper presents a method for synthesizing an adaptive fuzzy neural network control algorithm for autonomous naval flying devices to stabilize the desired characteristic angles. A Matlab/Simulink environment survey is conducted with assumed parameters and the results are compared with those of a PID controller to highlight the advantages of the proposed algorithm.