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An Asynchronized observer based fault detection Approach for Uncertain Switching Systems With Mode Estimation

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2022年第2期69卷 514-518页

作者： Li, Linlin Ding, Steven X. Na, Yuhong Qiu, Jianbin Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Univ Duisburg Essen Inst Automat Control & Complex Syst D-47057 Duisburg Germany Harbin Inst Technol State Key Lab Robot & Syst Harbin 150080 Peoples R China Harbin Inst Technol Sch Astronaut Harbin 150001 Peoples R China

This brief addresses the design issues of real-time asynchronized observer based fault detection in uncertain switched systems combining with a mode estimation unit. To this end, the so-called L-infinity/L-2 type of residual generators is investigated in the asynchronized switching manner with the aid of average dwell time approach for the first time. A mode estimation unit is developed based on the measurements collected from the residual generators and the process, and further embedded in a multi-level detection logic. As a result, the conservative threshold setting caused by the model mismatch in the asynchronized residual generation, and the fault detectability can be improved.

关键词： observer-based fault detection switched systems mode estimation asynchronized switching

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Diagnostic observer-based fault detection Approach for T-S Fuzzy Systems 9

Diagnostic Observer-based Fault Detection Approach for T-S F...

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9th International Conference on Information Science and Technology (ICIST)

作者： Li, Linlin Peng, Kaixiang Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781728121062

The main attention of this paper is paid on the design scheme of diagnostic observer-based fault detection unit for fuzzy processes. By addressing the robustness issues against disturbances in the L-infinity/L-2 framework, a real-time fault detection can be achieved via fuzzy Lyapnov functions. A dynamic threshold is developed to meet with real-time fault detection requirement. An example is given to demonstrate the fault detection approach.

关键词： Fuzzy systems observer-based fault detection robustness

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A Hybrid Model-Data Vehicle Sensor and Actuator fault detection and Diagnosis System

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2024年第7期25卷 8121-8133页

作者： Zabihi, Mehdi Mehrizi, Reza Valiollahi Kasaiezadeh, Alireza Pirani, Mohammad Khajepour, Amir Univ Waterloo Dept Mech & Mechatron Engn Waterloo ON N2L 3G1 Canada Gen Motors Co Res & Dev Dept Warren MI 30565 USA Univ Ottawa Dept Mech Engn Ottawa ON K1N 6N5 Canada

This paper proposes a hybrid model/data fault detection and diagnosis system applicable to any vehicle sensor and actuator. This system works based on comparing the measurements of a target sensor or the desired control actions of a target actuator with their estimations. These estimations are obtained by a hybrid estimator developed based on the integration of model-based and data-driven estimators leveraging the strength of each estimator. Considering the weakness of pure data-driven estimators in confronting unknown conditions, a self-updating dataset is proposed to learn new cases. After fault detection, the estimations of the hybrid estimator are used to reconstruct sensor data or find the level of actuator failure. To evaluate the performance of the proposed hybrid fault detection and diagnosis system, it is applied to a vehicle's lateral acceleration sensor and traction motor. The results of experimental tests conducted on an all-wheel-drive vehicle show the effectiveness of the algorithm in detecting and quantifying faults in the target component.

关键词： Hybrid fault detection observer-based fault detection sensor and actuator faults hybrid estimator

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An observer-based fault detection Scheme for Distributed Parameter Systems of Hyperbolic Type and Its Application in Paper Production Process

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IFAC Proceedings Volumes 2012年第20期45卷 1047-1052页

作者： Haiyang Hao Steven X. Ding Adel Haghani Shen Yin Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 (BB) 47057 Duisburg Germany Research Center of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

In this paper, an observer-based fault detection scheme is developed for one special kind of distributed parameter systems (DPS) of hyperbolic type. An alternative order reduction approach is utilized to handle the infinite-dimensional nature of DPS for fault detection purpose, compared with the existing modal analysis based method which relies on the existence of eigen-decomposition of the spatial differential operator. The developed fault detection scheme is finally implemented on a simulation model of the paper drying process in paper production industry, and the achieved results demonstrate the effectiveness of the proposed scheme.

关键词： observer-based fault detection distributed parameter systems order reduction finite element method paper drying process

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Robust observer-based fault detection and isolation in the standard control problem framework

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IFAC Proceedings Volumes 2012年第13期45卷 473-478页

作者： Arne Wahrburg Saman Khodaverdian Jürgen Adamy Institute of Automatic Control Control Theory & Robotics Lab Technische Universität Darmstadt Germany

This paper deals with the design of robust fault detection and isolation observers where only a single observer is employed to isolate different faults. To this end, the problem of parameterizing such observers is shown to be equivalent to designing a structurally constrained controller in the standard control problem framework. Thereby, the problem is reformulated as a well known classical control problem, which enables the use of existing tools to optimize robustness with respect to arbitrary exogenous disturbances. To account for parametric uncertainties, an approximate model matching approach is used.

关键词： robust fault diagnosis observer-based fault detection isolation standard control problem structurally constrained control model matching

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A fault detection Approach for Nonlinear Systems based on Data-Driven Realizations of Fuzzy Kernel Representations

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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2018年第4期26卷 1800-1812页

作者： Li, Linlin Ding, Steven X. Yang, Ying Peng, Kaixiang Qiu, Jianbin Univ Sci & Technol Beijing Sch Automat & Elect Engn Key Lab Knowledge Automat Ind Proc Minist Educ Beijing 100083 Peoples R China Univ Duisburg Essen Inst Automat Control & Complex Syst D-47057 Duisburg Germany Peking Univ State Key Lab Turbulence & Complex Syst Dept Mech & Engn Sci Coll Engn Beijing 100871 Peoples R China Harbin Inst Technol Res Inst Intelligent Control & Syst Harbin 150080 Heilongjiang Peoples R China

This paper is devoted to the data-driven fault detection of nonlinear systems. For our purpose, the definition of Takagi-Sugeno fuzzy data-driven forms of kernel representations for nonlinear systems is introduced first, which builds the basis of our work. The major contributions consist of two parts. In the first part, a data-driven method for fuzzy process modeling is proposed, and associated with it, some modeling issues are addressed with the aid of the so-called randomized algorithm technique in the probabilistic framework. It is followed by a data-driven realization of fuzzy kernel representation and its implementation in the fault detection system design. To link the data-driven methods to the well-established observer-based fault detection approaches, the recursive form of the fuzzy kernel representation is proposed. In the second part, the fuzzy-observer-based fault detection design scheme is investigated based on the recursive fuzzy kernel representation. The main results of our study are illustrated by an experimental study on the laboratory setup of a three-tank system.

关键词： Data-driven methods fuzzy fault detection schemes kernel representation observer-based fault detection randomized algorithms (RAs)

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A DATA-DRIVEN fault detection APPROACH WITH PERFORMANCE OPTIMIZATION

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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2018年第2期96卷 507-514页

作者： Li, Linlin Ding, Steven X. Peng, Kaixiang Han, Huayun Yang, Ying Yang, Xu Univ Sci & Technol Beijing Sch Automat & Elect Engn Key Lab Knowledge Automat Ind Proc Minist Educ Beijing 100083 Peoples R China Univ Duisburg Essen Inst Automat Control & Complex Syst AKS D-47057 Duisburg Germany Peking Univ Dept Mech & Engn Sci Coll Engn State Key Lab Turbulence & Complex Syst Beijing 100871 Peoples R China

This paper is concerned with the data-driven realization of fault detection approach with performance optimization. For our purpose, the datadriven realization form of linear kernel representations is studied first, which is essential in our work. It is followed by a data-driven realization of kernel representation and its implementation in the design scheme of fault detection systems. Nevertheless, the basic idea behind this approach lies in the one-step identification of kernel representation using LQ-decomposition. Then, the recursive kernel representation is introduced and the so-called gradient descent algorithm is applied to optimize the performance of the proposed data-driven fault detection system. The effectiveness of the proposed approaches is illustrated by a numerical example and a case study on laboratory setup of a three-tank system.

关键词： data-driven methods observer-based fault detection gradient descent algorithm

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Robust Sensors-fault-Tolerance With Sliding Mode Estimation and Control for PMSM Drives

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IEEE-ASME TRANSACTIONS ON MECHATRONICS 2018年第1期23卷 17-28页

作者： Kommuri, Suneel Kumar Lee, Sang Bin Veluvolu, Kalyana Chakravarthy Korea Univ Sch Elect Engn Seoul 136713 South Korea Kyungpook Natl Univ Sch Elect Engn Daegu 702701 South Korea

In general, permanent magnet synchronous motor (PMSM) drives require four sensors (one position, one dc-link voltage, and at least two current sensors) to obtain good dynamic control performance. If an unpredictable fault occurs in any of these sensors, the performance of the drive deteriorates or even becomes unstable. Most of the existing works are limited to fault diagnosis of one or two sensors due to complexity. Therefore, to provide a continuous drive operation regardless of any of the sensor faults, an advanced fault-tolerant control (FTC) scheme that comprises of higher order sliding mode (HOSM) based observers and controllers is proposed. Two HOSM observers and one Luenberger observer are designed to generate the respective residuals and provide the detection of all sensor faults. Moreover, HOSM controllers are developed to ensure finite-time convergence of the error trajectories after the fault reconfiguration. The proposed FTC scheme reduces the existing chattering phenomenon with good performance in terms of convergence speed and steady-state error. Evaluation results on a three-phase PMSM are presented to validate the effectiveness of the proposed FTC approach.

关键词： fault-tolerant control (FTC) observer-based fault detection reliable control residual-generation sliding mode (SM) control

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High-gain observers for leak location in subterranean pipelines of liquefied petroleum gas

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2014年第6期24卷 1127-1141页

作者： Torres, L. Verde, C. Besancon, G. Gonzalez, O. Univ Nacl Autonoma Mexico Inst Ingn Mexico City DF Mexico Grenoble INP Control Syst Dept Gipsa Lab St Martin Dheres France Inst Univ France Paris France

This paper describes a scheme based on high-gain observers to detect and locate leaks in subterranean pipelines of liquefied petroleum gas (LPG). In fact, sub-observers connected in cascade are used to generate residuals that allow to detect when a leak occurs and, above all, to isolate the region of the pipeline where the leak is located. Once the region is identified, a dedicated observer is employed to more precisely estimate the leak position as well as its coefficient. The approach is validated with data from a real industrial LPG pipeline. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： LPG pipeline fluid systems observer-based fault detection leak location partial differential equations high-gain observers

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Real-Time Data Fusion and MEMS Sensors fault detection in an Aircraft Emergency Attitude Unit based on Kalman Filtering

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IEEE SENSORS JOURNAL 2012年第10期12卷 2984-2992页

作者： Carminati, Marco Ferrari, Giorgio Grassetti, Riccardo Sampietro, Marco Politecn Milan Dipartimento Elettron & Informaz I-20133 Milan Italy Log Sistemi Avionici SpA I-20060 Milan Italy

The design, realization, and experimental validation of an original avionic attitude estimation unit are presented. The core of the system is a nine-state extended Kalman filter that optimally blends complementary kinematic data provided by orthogonal triads of inertial micro-electro-mechanical systems sensors: rate gyros (short-term fast dynamics) and accelerometers (long-term static reference). The unit is embedded in a novel aircraft emergency guidance system based on miniaturized solid-state sensors. While achieving the required extreme compactness, state-of-the-art performance is preserved: 50 Hz update rate, 0.1 degrees angular resolution, 0.5 degrees static accuracy, and 2 degrees dynamic accuracy (400 degrees/s max. angular rate, 10 g max. acceleration), all experimentally verified and granted over the extended thermal range. The selection of the state variables has been carefully trimmed in order to maximize the performance/speed tradeoff for real-time running in an embedded processor. The adoption of the Kalman observer also enables the implementation of model-based sensor fault detection with no extra computational cost.

关键词： Attitude avionic sensors data fusion inertial micro-electro-mechanical systems (MEMS) Kalman filter (KF) observer-based fault detection

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