Adaptive Neural Network Controller Design for a Blended-Wing UAV with Complex Damage

Abstract

This paper presents neural network controller design for complex damage to a blended wing UAV (Unmanned Aerial Vehicle): partial loss of main wing and vertical tail. Longitudinal/lateral axis instability and the change of flight dynamics is investigated via numerical simulation. Based on this, neural network based adaptive controller combined with feedback linearization is designed in order to compensate for the complex damage. Numerical simulation verifies that the instability from the complex damage of the UAV can be stabilized via the proposed adaptive controller.