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基于蜻蜓算法的飞行器自抗扰控制器设计

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针对飞行器复杂环境下强耦合、非线性和气动参数变化剧烈的问题,提出一种基于蜻蜓算法的自抗扰控制器设计方法.首先建立复杂环境下飞行过程三通道的数学模型,采用扩张状态观测器估计系统的状态和总扰动,并对观测到的干扰进行补偿,采用蜻蜓算法整定优化自抗扰控制器的参数,最后通过六自由度仿真进行验证.结果表明,优化后的控制器参数具有更好的控制精度,在气动参数拉偏的情况下也具有较好的控制效果.
An ADRC Flight Controller Design Based on Dragonfly Algorithm
Aiming at the strong coupling,nonlinearity and severe aerodynamic parameter variations under the complex environment of vehicles,an active disturbance rejection controller design method based on the dragonfly algorithm is proposed.Firstly,a mathematical model based on the three-channel powerless reen-try process of vehicles is established.The extended state observer is used to estimate the system state and total disturbance,and then the observed disturbance is compensated.The dragonfly algorithm is employed to op-timize the parameters of the active disturbance rejection controller.Finally,validation is shown through a vehicle simulation of six-degree-of-freedom.The results show that the optimized controller parameters have better control accuracy and maintain good control performance even under significant aerodynamic parame-ter deviations.

Flight vehicleDragonflly algorithmAttitude controlActive disturbance rejection control

陈哲一、高晓颖、赵建军、郑总准、刘晓宇

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北京航天自动控制研究所,北京 100854

飞行器 蜻蜓算法 姿态控制 自抗扰控制

2024

航天控制
北京航天自动控制研究所

航天控制

CSTPCD
影响因子:0.29
ISSN:1006-3242
年,卷(期):2024.42(2)
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