高超声速飞行器系统的DOB识别与抗干扰控制

Xu Lubing, Ye Yangfei, Yi Yang
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引用次数: 0

摘要

针对高超声速飞行器,提出了一种新的DOB识别与控制算法。将DOBC技术与深度神经网络模型相结合,在存在干扰的情况下识别姿态和速度。采用自适应方法调整权矩阵和补偿未知参数,利用努斯鲍姆增益矩阵和反馈控制增益构建控制输入。利用李亚普诺夫方法给出了稳定性证明。仿真结果表明,将DOBC技术与深度神经网络模型相结合,可以获得满意的动态辨识和抗干扰性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DOB Identification and Anti-Disturbance Control for Hypersonic Flight Vehicle Systems
In this paper, a novel DOB identification and control algorithm is developed for hypersonic flight vehicle. The DOBC technique is combined with the DNNs Models so as to identify attitude and velocity in the presence of disturbance. By using an adaptive method to adjust the weight matrices and compensate the unknown parameters, the control input is built with the Nussbaum gain matrix and feedback control gain. The stability proof is provided by using Lyapunov method. Finally, the simulation results shows DOBC technique is combined with DNNs models can obtained satisfactory dynamical identification and anti-disturbance performance.
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