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The following topics are dealt with: abnormal events management; sliding mode methods; fault-tolerant control systems; intelligent monitoring; sensor network scheduling; fault detection; large-scale distributed systems; and space domain.
The BP Deepwater Horizon oil spill disaster has reminded us, once again, the potential for systemic failures in complex engineered systems. But such systemic failures are not limited to the chemical and petrochemical industries alone. The 2003 Northeast electrical power blackout was a systemic failure. Financial disasters such as Enron, WorldCom, subprime derivatives market, and so on, also belong...
The problem of fault diagnosis in thrusters of autonomous underwater vehicle is studied. Solution of the problem involves residual generation as a result of mismatch between vehicle behaviour and its reference model behaviour followed by decision making via evaluation of the residual. Sensitivity theory based methods are developed for the design of both residual generator and decision making procedure...
In this paper, the deployment of a fault diagnosis strategy in the Smart Distance Keeping (SDK) system with a decentralized architecture is presented. The SDK system is an advanced version of the Adaptive Cruise Control (ACC) system, implemented in a Renault-Volvo Trucks vehicle. The main goal of this work is to analyze measurements, issued from the SDK elements, in order to detect, to localize and...
This paper presents how autonomy adaptation can be useful to enhance the fault tolerance of autonomous mobile robots. For that, we proposed a global and structured methodology which allows integrating specific fault tolerant mechanisms into an adaptive control architecture. When a problem is detected, the autonomous behavior of the robot is automatically adapted to overcome it. The human operator...
This paper presents a new scheme for actuator fault detection and isolation (FDI) with application to actuator health monitoring on an aircraft. The Single Model Active Fault Detection and Isolation System (SMAC-FDI) efficiently detects and isolates a faulty actuator in a system. This method has a short response time and is robust against model uncertainties, sensor noise, external disturbances. The...
In this paper, integral sliding mode control ideas are incorporated with control allocation, to design fault tolerant controllers for longitudinal and lateral control of a large transport aircraft. The proposed scheme has the capability to retain nominal performance even in the face of total failure of certain actuators, provided there is enough redundancy in the system. During faults or failures,...
This paper discusses the problem of designing the sliding-mode-based sensor faults estimation in a general structure suitable on the actuator as well as sensor faults detection and estimation. The problem addressed is indicated as an unified algebraic approach giving sufficient conditions of solution. Lyapunov inequality implying from two linear matrix inequalities are outlined to posses a stabile...
This paper is aimed at robust control of a Permanent magnet DC motor based actuator used in the control of the inlet swirl valve of a diesel engine. The actuator has uncertainty issues related to parameter identification and variation, and load disturbance. These issues lead to faults in controllers, resulting in poor performance and failure. The actuator has been modeled taking parameter uncertainties...
Clean data are essential for any kind of alarm or control system. To achieve the required level of data quality in online water quality monitoring, a system for fault tolerant control was developed. A modular approach was used, in which a sensor and station management module is combined with a data validation and an event detection module. The station management module assures that all relevant data,...
Time series trend extraction is of great interest in data mining research recently. For example, it can be applied in system monitoring to detect faults and abnormalities in process industry and medical care. In this paper, a trend extraction algorithm based on variable time window length median filter is presented. The trend filtered can not only reflect the basic geometry of noised signal, but also...
Wavelet-based techniques for fault detection usually employ one of two basic approaches, namely (a) decomposition of a measured signal containing fault-related information or (b) decomposition of a residue calculated as the difference between sensor readings and the output of a model. An alternative approach, which was recently proposed in, consists of employing the wavelet transform to identify a...
For sequential jumps detection, isolation and estimation in discrete-time stochastic linear systems, Willsky and Jones. have developed the Generalized Likelihood Ratio (GLR) test. After each detection and isolation of one jump, the treatment of another possible jump is obtained by a direct state estimate and covariance incrementation of the Kalman filter originally designed on the jump-free system...
This paper investigates the detection filter design problem for the detection and isolation of faults in linear parameter varying (LPV) systems by means of dynamic inversion where the system matrix depends affinely from the parameters. A method for the construction of the inverse, relying on the concept of parameter varying invariant subspaces and related concepts of classical geometrical system theory...
In this paper, a Fault Tolerant Control (FTC) strategy using a virtual sensor for Linear Parameter Varying (LPV) systems is proposed. The main idea of this FTC method is to reconfigure the control loop such such that the nominal controller could be still used without need of retuning it. That is, the plant with the sensor fault is modified adding the virtual sensor block that masks this fault and...
Two different schemes for Fault Tolerant Control (FTC) based on Adaptive Control, Robust Control and Linear Parameter Varying (LPV) systems are proposed. These schemes include a Model Reference Adaptive Controller for an LPV system (MRAC-LPV) and a Model Reference Adaptive Controller with a H∞ Gain Scheduling Controller for an LPV system (MRAC-H∞ GS-LPV). In order to compare the performance of these...
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