机翼摇滚自适应神经网络抑制

Suppression of Wing Rock with Adaptive Neural Control

针对战斗机在大迎角下表现出的机翼摇滚非线性振荡现象,提出一种基于自适应神经网络的抑制机翼摇滚控制方案.采用动态逆方法实现机翼摇滚特性的近似线性化,并根据动态性能指标要求设计线性补偿器,采用单隐层神经网络在线补偿近似动态逆引起的误差.仿真实验验证了控制方法的有效性.

We propose to control the nonlinear wing rock motion of fighter aircraft using an adaptive nonlinear control strategy based on neural networks. An approximate dynamic inversion method is used to linearize the dynamics of wing rock. A linear controller is designed to stabilize the error dynamics. An adaptive neural network is used to cancel the inversion error. Simulation results of a slender delta wing combat aircraft model at different angle of attack show that the control design can effectively suppress wing rock.