Roll and yaw control of unmanned helicopter based on adaptive neural networks

In this paper, for unmanned helicopter which exhibits a complex and nonlinear dynamic behavior, we propose an roll and yaw control method based on adaptive neural networks. First, we are aiming to construct the reduced roll and yaw model of unmanned helicopter. Then, we design the controller based on adaptive neural networks. As for the errors produced by nonlinear, they can be compensated by adaptive neural networks. Also, we apply this method in tracking and control simulation for unmanned helicopter, and the simulation results show that the system designed in this method can can possess strong robustness and excellent tracking performance.