检索结果-内蒙古大学图书馆

H-/L∞ UIO-based fault detection and isolation design in finite-frequency domain for nonlinear systems

ASIAN JOURNAL OF CONTROL 2025年第2期27卷 622-645页

作者： Gao, Sheng Zhang, Wei Jin, Bopi Ma, Siyuan Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang Peoples R China China Portugal Belt & Rd Joint Lab Space & Sea Tec Shanghai Peoples R China

The issue of fault detection and isolation design in the finite-frequency domain for discrete-time Lipschitz nonlinear systems subjected to actuator faults and disturbances is investigated. A bank of H-/L-infinity unknown input observers (UIOs) is established using the generalized observer scheme to generate residuals that are insensitive to a specific actuator fault but sensitive to the other actuator faults. Furthermore, in the finite-frequency domain, the H- and L-infinity performance indices are simultaneously used to improve the fault detection sensitivity and attenuate the influence of disturbances on the residuals, respectively. The design conditions for the bank of H-/L-infinity UIOs are derived from the generalized Kalman-Yakubovich-Popov lemma and converted into an optimization problem constrained by linear matrix inequalities to solve the design matrices more easily. To diagnose actuator faults, a fault detection and isolation scheme is established using the time-varying threshold from the L-infinity performance analysis. Finally, the effectiveness of the fault detection and isolation scheme using the bank of H-/L-infinity UIOs is validated by the simulation of two examples.

关键词： fault detection and isolation finite-frequency domain linear matrix inequality Lipschitz nonlinear system unknown input observer

来源：评论

学校读者我要写书评

暂无评论

Enhancing safety in autonomous vehicles using zonotopic LPV-EKF for fault detection and isolation instate estimation

引用

CONTROL ENGINEERING PRACTICE 2025年 156卷

作者： Conejo, Carlos Puig, Vicenc Morcego, Bernardo Navas, Francisco Milanes, Vicente UPC CSIC Inst Robot & Informat Ind Barcelona Spain UPC CS2AC Automat Control Grp Terrassa Spain Renault Grp Valladolid Spain

In this paper, a solution is presented to address the sensor fault detection and isolation (FDI) problem in state estimation for autonomous vehicles (AVs). The primary impetus for autonomous driving lies in its potential to ensure vehicle safety, a goal that requires an accurate determination of location, heading, and speed. Although sensors can directly obtain these measurements, they are often affected by noise and disturbances with unknown but bounded (UBB) distributions. To mitigate these effects, state estimation techniques are commonly employed, leveraging sensor fusion. This work aims to design an FDI methodology that continuously evaluates the accuracy of the state estimation algorithm in an AV. In order to achieve this goal, various observation techniques for robust FDI are compared, including a novel approach of EKF formulated within the LPV framework, named LPV-EKF. A zonotopic LPV-EKF observer is implemented to perform FDI on both state estimation inputs and outputs, considering an UBB noise distribution. The proposed methodology for the identification of anomalies is optimised to minimise the detection time in real world scenarios. The experimental results for FDI, collected from an autonomous Renault Zoe (SAE Level 3), are analysed and discussed.

关键词： Autonomous vehicles Safety fault detection and isolation Kalman filters Linear-parameter varying systems

来源：评论

学校读者我要写书评

暂无评论

Online fault detection and isolation of PEMFC based on EIS and data-driven methods: Feasibility study and prospects

引用

JOURNAL OF POWER SOURCES 2025年 641卷

作者： Yu, Dan Li, Xingjun Zhou, Fan Araya, Samuel Simon Sahlin, Simon Lennart Subramanian, Venkat R. Liso, Vincenzo Aalborg Univ Dept Energy DK-9220 Aalborg Denmark Luxembourg Inst Sci & Technol LIST Mat Res & Technol Dev 41 Rue Brill L-4422 Belvaux Luxembourg Univ Texas Austin Walker Dept Mech Engn Austin TX 78712 USA

Electrochemical impedance spectroscopy (EIS) can be useful for the mechanism analysis and diagnosis of proton-exchange membrane fuel cell (PEMFC) performance degradation. This review summarizes the potential of using EIS for real-time fault detection and isolation of the PEMFC by data-driven methods from the following aspects. First, the data-driven diagnosis strategy of PEMFC based on EIS is overviewed;the typical faults and EIS measurement for data collection are briefly introduced. Then, the application of EIS in the online data-driven diagnosis of PEMFC is analyzed and discussed, focusing on feature extraction from EIS, diagnosis models employing various machine learning methods, and the corresponding EIS features for each machine learning method. Finally, the feasibility of using EIS for online data-driven fault diagnosis of PEMFC is briefly summarized, and the research challenges and prospects are proposed. This review aims to provide inspiration and new insights for future research on online PEMFC diagnosis, prognostics, and health management.

关键词： Proton exchange membrane fuel cell Electrochemical impedance spectroscopy Diagnosis fault detection and isolation Machine learning

来源：评论

学校读者我要写书评

暂无评论

Sensor fault detection and isolation in Multi-Agent Systems

引用

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2025年第5期39卷 952-964页

作者： Borah, Kaustav Jyoti Toronto Metropolitan Univ Toronto ON Canada

Sensor fault detection and isolation in multi-agent systems (MAS) with uncertain dynamics and undirected, connected communication networks is addressed in this article. The proposed approach involves a two-step process: First, fault detection, and then likelihood-based fault isolation. A novel fault reconstruction technique is introduced by tuning the unscented Kalman filter (UKF) noise covariance matrices within the Q-learning framework. This adjustment helps reconstruct the uncertain states of the MAS and train the internal parameters of a neural network using historical measurements. This innovative method is referred to as Enhanced reinforced UKF (ERUKF). To reduce neural network approximation errors, a robust control term utilizing the hyperbolic tangent function is applied. The stability of ERUKF, when combined with the robust control method, is mathematically proven using the Lyapunov theorem. Simulations illustrate that ERUKF exhibits lower estimation errors compared to adaptive UKF, achieving a 96.67% success rate in fault isolation under Monte Carlo (MC) simulations.

关键词： deep reinforcement learning fault detection and isolation multi-agent dynamics nonlinear filtering sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Real-time actuator fault detection and isolation for quadrotor UAV via directional residuals

引用

MEASUREMENT SCIENCE AND TECHNOLOGY 2025年第1期36卷

作者： Li, Yuxue Zhu, Xiaoyuan Wang, Feng Wang, Biao Qi, Ruiyun Southeast Univ Sch Mech Engn Nanjing 211189 Peoples R China Jiangsu Univ Dept Automot Engn Res Inst Zhenjiang 212013 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 211106 Peoples R China

fault diagnosis is critical for safe and reliable operations of quadrotor unmanned aerial vehicles (UAVs), so that timely remedial measures can be taken to reduce negative impacts of faults. This paper presents a real-time actuator fault detection and isolation (FDI) method for quadrotor UAV flight process. First, a linear parameter-varying model is established to describe quadrotor UAV dynamics, which considers measurement noises and external disturbances. Then, an FDI strategy is developed based on directional residuals, in which only one observer-based residual generator is required and H-/L infinity indices are incorporated to balance fault sensitivity and disturbance robustness. A threshold is derived from the L infinity performance condition, and actuator faults are detected through residual evaluation. Furthermore, by introducing fault feature vectors associated with the system model, the faulty actuator is isolated promptly by analyzing directional correlations between generated residual vectors and defined fault feature vectors. Finally, based on a quadrotor UAV platform, the effectiveness and superiority of the proposed FDI method are verified through online trajectory tracking processes.

关键词： fault detection and isolation directional residual quadrotor H-/Linfinity observer

来源：评论

学校读者我要写书评

暂无评论

fault detection and isolation for linear parameter-varying systems with time-delays: a geometric approach

引用

Science China(Information Sciences) 2023年第7期66卷 162-176页

作者： Zhao ZHANG Xiao HE Department of Automation Tsinghua University

fault detection and isolation(FDI) problems for linear parameter-varying(LPV) systems with state time-delays are studied in this paper. By defining the concept of unobservability subspace and designing its calculation algorithm, the geometric approach is introduced to the time-delay LPV systems. Utilizing Wirtinger-based integral inequality, we obtain a sufficient condition to solve the so-called H∞-based residual generation problem for the LPV systems. In this paper, we consider two cases: the time delay is known and the time delay is unknown but its estimated value can be obtained. Corresponding observers are proposed for both cases based on the geometric approach and H∞ techniques. Lyapunov-Krasovskii functional is utilized to handle the time-delays and Wirtinger's inequality is employed to reduce conservatism. Numerical examples are presented to demonstrate the effectiveness of the proposed approach.

关键词： time-delay LPV systems geometric approach fault detection and isolation exact-memory rough-memory

来源：评论

学校读者我要写书评

暂无评论

fault detection and isolation for a nonlinear railway vehicle suspension with a Hybrid Extended Kalman filter

引用

VEHICLE SYSTEM DYNAMICS 2013年第10期51卷 1489-1501页

作者： Jesussek, Mathias Ellermann, Katrin Graz Univ Technol Inst Mech A-8010 Graz Austria

fault detection is considered to be one way to improve system reliability and dependability for railway vehicles. The secondary lateral and anti-yaw dampers are the most critical parts in railway suspension systems. So far, the dampers have been modelled as linear components in the fault detection and isolation observer design. In this work, a Hybrid Extended Kalman filter is used to capture the nonlinear characteristics of the dampers. In order to detect and isolate faults, a nonlinear residual generator is developed, which can distinguish clearly between different types of faults. A lateral half train model serves as an example for the proposed technique. The results show that failures in the nonlinear suspension system can be detected and isolated accurately.

关键词： fault detection and isolation Hybrid Extended Kalman filter nonlinear suspension system railway vehicle dynamics maintenance

来源：评论

学校读者我要写书评

暂无评论

fault detection and isolation analysis and design for solution copolymerization of MMA and VAc process

引用

AICHE JOURNAL 2016年第4期62卷 1054-1064页

作者： Shahnazari, Hadi Mhaskar, Prashant McMaster Univ Dept Chem Engn Hamilton ON L8S 4L7 Canada

The problem of detecting and isolating distinguishable actuator and sensor faults in the solution copolymerization of methyl methacrylate and vinyl acetate monomers are considered in this work. To this end, first state estimates are generated using a bank of high-gain observers, and nonlinear fault detection and isolation (FDI) residuals are defined. The process dynamics are further analyzed to categorize fault scenarios as distinguishable and indistinguishable, and the necessary and sufficient conditions for the classification are presented. Subsequently, filters are designed that enable FDI for the distinguishable fault scenarios, with the advantage of detecting and confining possible locations for indistinguishable faults. The FDI filters are implemented on the copolymerization process, and the results compared with a linear model based filter design. (c) 2015 American Institute of Chemical Engineers AIChE J, 62: 1054-1064, 2016

关键词： fault detection and isolation process control distinguishable faults copolymerization process high-gain observers

来源：评论

学校读者我要写书评

暂无评论

fault detection and isolation for Uncertain Systems Based on Unknown Input Set-Membership Observer

引用

CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2022年第8期41卷 4324-4346页

作者： Fan, Xiaomin Zhang, Wei Li, Xiaohang Shanghai Univ Engn Sci Lab Intelligent Control & Robot Shanghai 201620 Peoples R China

This paper proposes an actuator fault diagnosis method for a class of discrete-time linear systems subject to parametric uncertainties, unknown but bounded disturbance and noise. The actuator faults of the systems are taken as unknown inputs, and the proposed unknown input observer has a new structure that provides more robust and more design degrees of freedom. A zonotope-based method is used to estimate the threshold of residual generated by the unknown input observer. Based on the proposed method, a fault detection and isolation strategy using a set of unknown input set-membership observers is presented. The effectiveness of the proposed method is verified by numerical simulation of a flight control system.

关键词： Unknown input observer Parametric uncertain systems Zonotope fault detection and isolation

来源：评论

学校读者我要写书评

暂无评论

fault detection and isolation Filters for Three-Phase AC-DC Power Electronics Systems

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2013年第4期60卷 1038-1051页

作者： Ding, Xiangyu Poon, Jason Celanovic, Ivan Dominguez-Garcia, Alejandro D. Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA MIT Inst Soldier Nanotechnol Cambridge MA 02139 USA

This paper develops and experimentally demonstrates a new class of high-fidelity model-based fault detection and isolation filters for three-phase AC-DC power electronics systems. The structure of these filters is similar to that of a piecewise linear observer and in the absence of faults the filter residual converges to zero. On the other hand, whenever a fault occurs, by appropriately choosing the filter gain, the filter residual will exhibit certain geometric characteristics that allow the fault to be detected and, in certain cases, also isolated. Key advantages of these filters include fast detection of all possible component faults and the ability to capture slow degradation in individual components. In order to experimentally demonstrate their feasibility, the filters are implemented on an ultra-fast application-specific real-time processor. While the theoretical framework developed is general, the analysis, simulations, and experiments are focused on widely used power electronics systems implementing three-phase AC-DC converters that are used in, e.g., motor drive applications and distributed static compensators.

关键词： fault detection and isolation field programmable gate arrays observers three-phase AC-DC converters

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：