Enhancing tracking performance of motion control based on a novel fuzzy adaptive finite time extended state observer subject to uncertainties and measurement noises

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-04-26 DOI:10.1016/j.measurement.2025.117624

Ba-Hoa Thai, Wonkeun Youn

引用次数: 0

Abstract

The paper introduces a novel fuzzy adaptive finite time extended state observer to enhance system performance in the presence of low and high-frequency multiple sources of uncertainties and measurement noises. The fuzzy logic system is integrated with the finite time extended state observer to adaptively tune the observer parameters for estimating unknown states. Additionally, stability convergence is verified through the Lyapunov theorem. Various experimental scenarios are conducted to illustrate the effectiveness of the proposed method. The experimental results demonstrate that system performance is improved by 16% to 75% when adopting the proposed approach compared to conventional extended state observer methods.

Abstract Image

查看原文本刊更多论文

基于模糊自适应有限时间扩展状态观测器的不确定性和测量噪声增强运动控制的跟踪性能

为了提高系统在低频和高频多不确定源和测量噪声存在下的性能，提出了一种新的模糊自适应有限时间扩展状态观测器。将模糊逻辑系统与有限时间扩展状态观测器相结合，自适应调整观测器参数以估计未知状态。此外，通过Lyapunov定理验证了该方法的稳定性收敛性。通过不同的实验场景来验证所提方法的有效性。实验结果表明，与传统的扩展状态观测器方法相比，采用该方法的系统性能提高了16% ~ 75%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.