基于动态面的高超声速飞行器模糊自适应非线性控制

针对高超声速飞行器模型非线性、多变量和参数不确定特性, 并考虑控制增益变化可能导致控制奇异值问题, 提出一种基于动态面的模糊自适应非线性控制方法. 根据动态面和动态逆策略, 分别设计了高度和速度跟踪控制器. 利用模糊自适应方法在线逼近不确定函数项, 并采用Nussbaum 增益技术抑制虚拟控制增益不确定影响, 以减少在线学习量, 保证系统的半全局一致最终有界性. 仿真结果表明, 所提出的方法可实现飞行器对高度和速度的准确跟踪控制.

Fuzzy adaptive nonlinear control based on dynamic surface control for hypersonic vehicle

For the characters of nonlinearity, multivariable and parameter uncertainty of hypersonic vehicle model, and thepossible singularity phenomenon of the controller resulted from changing of control gain, a fuzzy adaptive nonlinear controlapproach based on dynamic surface control(DSC) is proposed. The altitude and velocity tracking controllers are designedby using DSC and dynamic inversion strategies respectively. The fuzzy adaptive method is used to identify the uncertainfunction terms on-line. The Nussbaum gain approach is adopted to restrain the influence caused by the uncertain virtualcontrol gain and decrease the burden of on-line learning. The controlled systems are ensured to be semi-global uniformlyultimately bounded. The simulation results show that the accurate tracking control of hypersonic vehicle about altitude andvelocity can be realized by using the proposed approach.