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基于广义高阶扩张状态观测器的机载光电稳定平台扰动观测与抑制

Disturbance Observation and Suppression in an Airborne Electro-Optical Stabilized Platform Based on a Generalized High-Order Extended State Observer.

作者信息

Wang Lu, Li Xiantao, Zhou Zhanmin, Liu Yuzhang, Yang Zongyuan, Zhang Shitao, Li Chong

机构信息

Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

University of Chinese Academy of Sciences, No. 19, Yuquan Rd, Beijing 100049, China.

出版信息

Sensors (Basel). 2024 Jun 4;24(11):3629. doi: 10.3390/s24113629.

DOI:10.3390/s24113629
PMID:38894420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11175322/
Abstract

Active disturbance rejection control (ADRC) is widely used in airborne optoelectronic stabilization platforms due to its minimal reliance on the mathematical model of the controlled object. The extended state observer (ESO) is the core of ADRC, which treats internal parameter variations and external disturbances as total disturbances, observes the disturbances as extended states, and then compensates them into the control loop to eliminate their effects. However, the ESO can only achieve a precise estimation of constant or slowly varying disturbances. When the disturbance is periodically changing, satisfactory results cannot be obtained. In this paper, a generalized high-order extended state observer (GHOESO) is proposed to achieve the precise estimation of known frequency sinusoidal disturbance signals and improve disturbance suppression levels. Through numerical simulations, a traditional ESO and GHOESO are compared in terms of disturbance observation capability and disturbance suppression ability for single and compound disturbances based on our prior knowledge of disturbance frequency. The effectiveness of the proposed GHOESO method is verified. Finally, the algorithm is applied to an airborne optoelectronic stabilization platform for a 1°/1 Hz swing experiment on a space hexapod swing table. The experimental results demonstrate the superiority of the GHOESO proposed in this paper.

摘要

自抗扰控制(ADRC)因其对被控对象数学模型的依赖极小而被广泛应用于机载光电稳定平台。扩张状态观测器(ESO)是自抗扰控制的核心,它将内部参数变化和外部干扰视为总干扰,将干扰作为扩张状态进行观测,然后将其补偿到控制回路中以消除其影响。然而,扩张状态观测器只能对恒定或缓慢变化的干扰实现精确估计。当干扰周期性变化时,无法获得满意的结果。本文提出一种广义高阶扩张状态观测器(GHOESO),以实现对已知频率正弦干扰信号的精确估计并提高干扰抑制水平。通过数值仿真,基于我们对干扰频率的先验知识,将传统扩张状态观测器和广义高阶扩张状态观测器在单干扰和复合干扰的干扰观测能力和干扰抑制能力方面进行了比较。验证了所提广义高阶扩张状态观测器方法的有效性。最后,将该算法应用于机载光电稳定平台,在空间六足摇摆台上进行了1°/1 Hz摇摆实验。实验结果证明了本文所提广义高阶扩张状态观测器的优越性。

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本文引用的文献

1
Leader-Follower Asymptotic Consensus Control of Multiagent Systems: An Observer-Based Disturbance Reconstruction Approach.
IEEE Trans Cybern. 2023 Feb;53(2):1311-1323. doi: 10.1109/TCYB.2021.3125332. Epub 2023 Jan 13.
2
A composite control method based on the adaptive RBFNN feedback control and the ESO for two-axis inertially stabilized platforms.一种基于自适应径向基函数神经网络(RBFNN)反馈控制和扩张状态观测器(ESO)的两轴惯性稳定平台复合控制方法。
ISA Trans. 2015 Nov;59:424-33. doi: 10.1016/j.isatra.2015.09.011. Epub 2015 Oct 2.