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基于ESO的高超声速飞行器姿态鲁棒控制

Robust Control of Hypersonic Flight Vehicle Based On Extended State Observer
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摘要 针对高超声速飞行器快时变、强耦合、非线性的特点,为提高其抗干扰性能和姿态角快速跟踪性能,提出了一种基于扩张状态观测器的三通道姿态角鲁棒控制方法。首先,根据高超声速飞行器动力学模型,给出面向姿态角的控制模型;其次,利用扩张状态观测器对总扰动包括通道间耦合作用、参数不确定性及外部扰动进行估计补偿,并结合神经网络最小参数学习法设计姿态控制律,采用Lyapunov理论完成闭环稳定性分析;最后,仿真结果表明所提控制策略具有更好的控制性能和抗扰能力。 A three channel attitude Robust control method based on extended State observer is proposed to improve the anti-interference performance and the fast attitude tracking performance of hypersonic vehicles due to their fast time-varying,strong coupling and nonlinear characteristics.First at all,according to the dynamics model of hypersonic flight vehicle,a control model for the attitude angle was given.Secondly,the extended state observer was used to estimate and compensate the total disturbance including the coupling effect between channels,parameter uncertainty and external disturbance,combined with the neural network and minimum parameter learning method to design the attitude control law,and the closed-loop stability analysis was completed through Lyapunov theory.Finally,simulation results show that the proposed control strategy has better control performance and disturbance rejection ability.
作者 李大华 张紫依 吉月辉 刘俊杰 LI Da-hua;ZHANG Zi-yi;JI Yue-hui;LIU Jin-je(Tianjin University of Technology,College of Electrical Engineering and Automation,Tianjin 300384,China;Tianjin Key Laboratory of Complex System Control Theory and Application,Tianjin 300384,China)
出处 《计算机仿真》 北大核心 2023年第9期33-36,96,共5页 Computer Simulation
基金 国家自然科学基金资助项目(61975151,61308120)。
关键词 高超声速飞行器 姿态控制 扩张状态观测器 神经网络 鲁棒控制 Hypersonicflightvehicle Attitudecontrol Extended state observer Neuralnetwork Robust control
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