Fault Diagnosis of EHA Based on Improved Unknown Input Observer

Wenqi Zhang, Zhenbao Liu, Zhen Jia, Zhiqi Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The objective of this paper is to propose a fault diagnosis method based on an improved unknown input observer (UIO) for electro-hydraulic actuator (EHA) systems. The method is designed to enhance the accuracy and reliability of fault diagnosis in EHA systems, which are known to be complex and nonlinear. The improved UIO is capable of effectively filtering out unknown interference by optimising the observer gain and state estimation algorithm. This paper presents a validation of the proposed method through the use of the MATLAB/Simulink simulation platform, which allows for the testing of the system performance under normal and faulty working conditions. The results demonstrate that the enhanced UIO outperforms the conventional adaptive observer in terms of estimation accuracy, fault detection rate, isolation rate, detection time, and false alarm rate. This is particularly evident in the cases of sensor fault, actuator fault, and hydraulic leakage fault, where the detection rate reaches 95%, 90%, and 88%, respectively, and the isolation rate reaches 90%, 88%, and 85%, respectively. These enhancements significantly enhance the fault diagnosis capability of the EHA system, thereby providing an effective guarantee for its safety and reliability and having important practical application value.

源语言英语
主期刊名2024 24th International Conference on Control, Automation and Systems, ICCAS 2024
出版商IEEE Computer Society
750-755
页数6
ISBN(电子版)9788993215380
DOI
出版状态已出版 - 2024
活动24th International Conference on Control, Automation and Systems, ICCAS 2024 - Jeju, 韩国
期限: 29 10月 20241 11月 2024

出版系列

姓名International Conference on Control, Automation and Systems
ISSN(印刷版)1598-7833

会议

会议24th International Conference on Control, Automation and Systems, ICCAS 2024
国家/地区韩国
Jeju
时期29/10/241/11/24

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