Abstract:

A mathematical model of a unmanned aerial vehicle  with the thrust vectoring technology (UAV), which differs from the general model, is established. A new attitude control method of the UAV with the thrust vectoring technology based on a brain emotional learning (BEL) algorithm is presented. A pneumaticrudder controller and a thrust vectoring controller are designed, respectively. Furthermore, a BEL algorithm based compensator of the thrust vectoring controller is derived. Nonlinear numerical simulation of a UAV whole model is implemented, the results show the correctness of the model, the particular advantages of the thrust vectoring technology in application of UAV attitude control and the selflearning adaptive ability of the BEL intelligent method.