Neural network control with model following for low aspect ratio flying wing based on vortex control

In order to improve the lateral ability of the low aspect ration flying wing aircraft and satisfied it's ability, two control methods were used. One solution to improve closed-loop tracking of pilot commands is to employ a model-following controller approach, whereby an aircraft with poor dynamics is made to track the outputs of a model of the same aircraft with good dynamics. An improved solution is the extension to combine the model-following controller with a controller the can augment the yaw power by effectively modulating pneumatic vortex flow nozzles. This paper presents the synthesis and design of both lateral/directional controllers for an aircraft equipped with vortex flow control nozzles. Results demonstrate that both controllers are effective in improving closed-loop tracking of input commands and maneuverability, compared to a conventional flight control scheme using only aerodynamic control effectors.