Synthesis of intelligent control algorithms for a class of naval aerial vehicles

Abstract

Autonomous aerial vehicles in the Navy are modern aircraft widely used in military applications. Current techniques are primarily based on linear control theory, which may overlook nonlinear elements in the model or external disturbances in the operational environment. Therefore, this paper presents a method for synthesizing adaptive fuzzy neural network control algorithms for a class of autonomous aerial vehicles in the Navy to stabilize desired characteristic angles. The study is conducted in a Matlab/Simulink environment with assumed parameters, and comparisons are made with a PID controller to demonstrate the advantages of the proposed algorithm.