摘要
提出一种综合非线性鲁棒飞行控制系统设计方法,用于解决现代复杂战场环境下的飞行控制问题。为了克服系统的不确定性、时延性以及未建模动态给飞行控制系统带来的不利影响,在动态逆控制法的基础上,进一步设计了基于多层感知器神经网络和动态非线性阻尼控制的综合非线性鲁棒飞行控制器。利用神经网络参数的在线调整和动态非线性阻尼控制的抑制作用,使飞行控制系统能够跟踪给定信号,且满足一定的性能指标。最后将所设计的飞行控制系统用于某型歼击机的飞行仿真,结果证实当存在时延和平尾损伤时,设计的飞行控制系统具有很强的补偿能力。
A synthesized nonlinear robust flight control scheme is proposed for modern complex warfare environment. For overcoming the unfavorable influence which caused by the uncertainty of system, time delays and unmodelled dynamics, based on the basic dynamic inversion flight controller, the synthesized nonlinear robust flight controller is designed by using multi-layer perception neural network and dynamic nonlinear damping control. The online adjusted parameters of neural network and the inhibition of dynamic nonlinear damping control are introduced to make the flight system to track the desired command signal and satisfy the given performance index. Finally, the compensation ability of the designed robust flight control system is demonstrated by flight simulation in the condition of time delays and the failure of horizontal tail.
出处
《南昌航空大学学报(自然科学版)》
CAS
2014年第1期14-20,共7页
Journal of Nanchang Hangkong University(Natural Sciences)
基金
南昌航空大学校科研基金(EC200903229)
关键词
神经网络
动态非线性阻尼控制
未建模动态
飞行控制
neural network
dynamic nonlinear damping control
unmodelled dynamic
flight control