摘要
针对自主飞艇飞行环境的不确定性,提出了一种基于自适应滑模神经网络的姿态控制系统。平流层高空飞行环境对飞艇控制产生了许多不确定性因素,利用自适应变结构控制和神经网络方法设计了飞艇的俯仰通道控制器。非线性仿真结果表明:控制器能够适应对象结构参数及外部扰动的大范围变化,满足姿态控制稳定性要求,同时也消除了变结构控制系统的抖振,具有良好的鲁棒性和动态性能。
An adaptive controller combining the siding mode control with neural network is derived for autonomous airship according to flight environment. Due to uncertainties of stratosphere, the control system of pitch channel was designed based on adaptive variable structure control and neural network method. By the nonlinear simulation, it was showed that the controller could adapt well to large-scale variation of model parameter perturbation and wind turbulence which could meet requirement of control system stability, and the chattering of VSC was eliminated. The method made the control system good robustness and dynamic performance.
出处
《飞行力学》
CSCD
北大核心
2009年第1期40-42,共3页
Flight Dynamics
基金
国家高技术发展计划资助项目(2007HG20016)
关键词
自主飞艇
变结构控制
神经网络
飞艇飞行动力学
autonomous airship
variable structure control
neural network
airship flight dynamic
