Comparison of Single-Rate and Two-Rate Neural Control Approaches for Coaxial Rotor/Ducted-Fan TUAV for Situational Awareness Applications

Abstract

Paper discusses the modeling and control methodologies of a tactical unmanned aerial vehicle (TUAV) of coaxial rotor type with ducted fan via introduction of two-rate control and neural network methods in order to achieve more stabilized flight control. The effectiveness of the proposed single-rate and two-rate control strategies was illustrated and confirmed by numerical simulations of flight maneuvers using programming environment Simulink for chosen model of TUAV. At that earlier developed decomposition methodologies have been applied and adjusted for the actual unmanned aerial vehicle. As the TUAVs are becoming one of the most important information collection devices for the modern situation awareness (SA) systems, the achieved improvements in stabilization of flight trajectories and relevant energy economy enhancements will help to design better SA systems for search, rescue and situation reconnaissance operations.