摘要
针对含模型不确定性和外部扰动的高超声速飞行器纵向运动模型,提出了一种基于线性扩张状态观测器的动态面控制方法。采用非线性动态逆技术实现了高超声速飞行器高度和速度通道的解耦;结合传统反演设计方法,引入一阶低通滤波器求取虚拟控制量的微分,避免了"微分爆炸"的问题;设计线性扩张状态观测器,实现了对模型不确定性和外部扰动等组成的"总和扰动"的精确估计,显著提高了系统的扰动抑制能力;利用Lyapunov理论进行闭环稳定性分析。仿真结果表明,所提出控制器参数配置简单,对参数不确定性和外部扰动等有较强的鲁棒性,具有良好的指令跟踪效果。
In the presence of model parametric uncertainties and external disturbances, a LESO-based dynamic surface control approach is designed for the longitudinal model of Hypersonic Flight Vehicle (HFV). Via Nonlinear Dynamic Inversion (NDI) technique, the decoupling of altitude and velocity is realized. Combining with conven- tional back-stepping technique, a low pass filter (LPF) is introduced to attain the derivation of virtual control laws, which avoids the problem of "differentiation explosion". A linear extended state observer (LESO) is designed for the precise estimation and compensation of "lumped disturbance" containing parametric uncertainties and external disturbances, which tremendously improves the ability of disturbance rejection of the system. The stability of the proposed approach is analyzed by means of Lyapunov theory. The simulation results demonstrate that the proposed methodology has good command tracking performance, and the approach is robust in the presence of lumped disturbances.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2018年第1期13-19,共7页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(61174204
61101191
61502391)资助