测量噪声下的高超声速飞行器组合观测鲁棒控制  

Robust Control of Hypersonic Flight Vehicle Based on Combined State Observation Under Measurement Noises

作　　者：张睿 李世华[1] 魏振岩[3] 许斌 ZHANG Rui;LI Shihua;WEI Zhenyan;XU Bin(School of Automation,Southeast University,Nanjing 210096,China;School of Automation,Northwestern Polytechnical University,Xi’an 710129,China;Beijing Research Institute of Mechanical&Electrical Technology,Beijing 100074,China)

机构地区：[1]东南大学自动化学院,南京210096 [2]西北工业大学自动化学院,西安710129 [3]北京机电工程研究所,北京100074

出　　处：《宇航学报》2024年第2期203-211,共9页Journal of Astronautics

基　　金：江苏省卓博计划(2022ZB117);陕西省自然科学基础研究计划(2023JC-XJ-08);国家自然科学基金重点项目(61933010)。

摘　　要：针对高超声速飞行器大包络飞行时,风场等外部干扰和测量噪声导致控制系统性能变差甚至失稳的问题,提出了一种基于状态观测的高超声速飞行器鲁棒控制策略。考虑噪声和外部干扰影响下系统状态受扰的问题,设计了扩张状态观测器(ESO)和自适应Kalman滤波器(AKF)的特殊组合,在统计特性未知的噪声和外部干扰影响下准确估计系统状态。其中,自适应Kalman滤波器用于滤除噪声,为扩张状态观测器提供不受噪声影响的状态估计,扩张状态观测器连续为自适应Kalman滤波器提供外部干扰估计。基于系统状态估计设计线性高斯二次型控制器,实现高超声速飞行器精确轨迹跟踪。最后,通过仿真验证了该方法在测量噪声及风干扰影响下的鲁棒跟踪能力。In response to the poor performance and even instability of the control system caused by existed external disturbances and measurement noises,a robust control strategy based on state observation is proposed.Considering the unstable controller caused by using inaccurate system states under disturbances and noises,the special combination of extended state observer(ESO)and adaptive Kalman filter(AKF)is proposed to accurately estimate the system states which are contaminated by disturbances and noises that with unknown statistical properties.The AKF is used to offset noises and to provide the ESO with noiseless state estimation,while the ESO continuously provides the estimation of wind disturbances for the AKF.To achieve good tracking performance,the linear quadratic Gaussian control using the states estimation of observer is designed for HFV.Simulations are implemented to verify that robust tracking is obtained under the proposed method.

关 键 词：高超声速飞行器 扩张状态观测器 自适应Kalman滤波器 鲁棒控制 测量噪声 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]