首页|基于干扰观测器的变形飞行器预设性能控制

基于干扰观测器的变形飞行器预设性能控制

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针对强不确定性条件下高速变形飞行器姿态控制问题,提出一种预设性能滑模控制器设计方法.基于变形飞行器的姿态运动学模型,设计一种预设性能函数,结合滑模控制理论,在提高系统姿态跟踪误差精度的同时,保证飞行的稳定性和安全性.利用有限时间神经网络干扰观测器(Finite Time Neural Networks Disturbance Observer,FTNNDO)估计飞行过程中的扰动,该方法由于具有通用逼近性和有限时间收敛性,相比传统的干扰观测器更有优势.通过Lyapunov理论证明了闭环系统的有限时间稳定性.对比仿真测试表明,所提姿态控制器提升了系统的动态性能和稳态性能,对外部干扰能够进行很好的补偿,并通过参数组合拉偏实验,验证了该控制器对参数摄动的适应能力.
Disturbance observer-based prescribed performance control for morphing aircraft
A sliding mode controller with prescribed performance is presented for the attitude tracking of high speed morphing aircraft subject to large uncertainties.The attitude aerodynamic model of a morphing aircraft is constructed,and the prescribed performance function-based sliding mode theory is proposed.The steady performance of the attitude tracking errors is improved,and meanwhile,the stability and security are guaranteed.Moreover,the disturbance during the process of flight is estimated by utilizing finite-time neural network disturbance observer(FTNNDO).Compared with the traditional disturbance observer,the proposed algorithm shows superiority due to universal approximation and finite-time convergence.All signals of the closed-loop system are finite-time bounded,which are analyzed by Lyapunov stability theorems.Comparison simulation tests concerning with the dynamic and steady performance of system are presented and the results also illustrate that the proposed controller can compensate for external disturbance effectively,and meanwhile the adaptability of the designed control scheme is validated by the perturbation of the parameters.

high speed morphing aircraftprescribed performanceneural network disturbance observ-erattitude controlfinite time theoryperturbation of parameterscontrol performance

周雨欣、王鹏、汤国建、陈浩岚

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国防科技大学空天科学学院,长沙 410073

高速变形飞行器 预设性能 神经网络干扰观测器 姿态控制 有限时间理论 参数拉偏 控制性能

国家自然科学基金

92371203

2024

战术导弹技术
中国航天科工飞航技术研究院(中国航天科工集团第三研究院)

战术导弹技术

CSTPCD北大核心
影响因子:0.304
ISSN:1009-1300
年,卷(期):2024.(4)
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