摘要
文中提出一种将神经网络与动态非线性阻尼控制综合的控制方法,能在很大程度上提高以反馈线性化方法为基础的非线性飞控系统鲁棒性,在以某型推力矢量飞机为对象的仿真中,这种方法显示出很强的对气动模型不精确和未建模动态的补偿能力。
A robust nonlinear control law which synthesizes the neural networks and the dynamic nonlinear damping theory was proposed, which can improve the robustness of the nonlinear control law based on feedback linearization. According to the simulation in the failure condition of a certain type fighter aircraft, the compensation of this approach tothe control system is notable.
出处
《弹箭与制导学报》
CSCD
北大核心
2008年第3期74-76,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
非线性控制
神经网络
动态非线性阻尼控制
nonlinear control
neural network
dynamic nonlinear damping theory
