控制理论(社会学)
扰动(地质)
跟踪(教育)
噪音(视频)
观察员(物理)
国家(计算机科学)
计算机科学
国家观察员
工程类
控制工程
物理
控制(管理)
人工智能
非线性系统
地质学
算法
图像(数学)
量子力学
古生物学
教育学
心理学
作者
Jiuqiang Deng,Wenchao Xue,Luyao Zhang,Qiliang Bao,Yao Mao
标识
DOI:10.1109/tase.2025.3585348
摘要
While augmenting the observer gain can diminish the estimation errors of the extended state observer (ESO), it inevitably leads to an amplification of the observing noise, thus creating the trade-off between high-gain observation and noise sensitivity. To address the trade-off, this paper introduces the disturbance-compression extended state observer (DC-ESO) from a frequency-domain perspective. By employing disturbance compression, the DC-ESO modifies the disturbance characteristics encountered by the observer, effectively diminishing the upper bounds of the disturbance and its derivative. Frequency-domain analysis indicates that the DC-ESO necessitates substantially lower observer gain than the ESO while maintaining the same estimation errors. The principles of disturbance compression and its effects on disturbance estimation and noise amplification are elucidated, revealing that the DC-ESO effectively alleviates the inherent conflict between high-gain observation and susceptibility to noise. The parameter tuning methodology and frequency-domain stability criteria are user-friendly for practicing engineers. The effectiveness of the proposed approach is empirically verified through its application to an electro-optical tracking system.
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