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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...
The concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilbria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are...
The problem of model-based fault detection is studied with application of the Kalman filter for residual generation. The filter has two important incoming parameters, the state noise and the output noise covariance matrices, which tuning is analyzed in order to optimize the fault detection performance. The problem is formulated through an appropriate optimization criteria and applied to the oscillatory...
The identification of faults in control loops is sometimes a very difficult procedure, but even if it has been achieved, one very important topic will often be unsolved in the presence of plant-wide faults. This topic is the analysis of fault propagation. Via fault propagation analysis it is possible to determine which control loop is either the source of fault or at least nearest to the unmeasured...
This paper discusses fault detection and isolation for continuous-time systems using B-Splines and the notion of differential flatness. The idea is, from the system's flat outputs (which are obtained directly from measurement or from an observer), we algebraically produce every other measured signal, including the inputs. The corresponding signals are then compared. In nominal condition, a measured...
This paper presents a fault tolerant multisensor strategy for feedback control of a class of nonlinear systems upon a geometrical approach. A key point to ensure fault tolerance is the separation between healthy and faulty closed-loop behavior. Here we achieve this through set theoretic operations upon sets describing the healthy/faulty behavior of the system. The results rely both on an appropriate...
A new methodology is presented in this paper which incorporates the marginalized likelihood ratio (MLR) test for online fault detection and isolation. The proposed methodology reduces the number of optimization problems required for isolating the fault by means of a simple integration scheme. Moreover, the dependency on the accuracy of the statistical fault detection and confirmation tests is relaxed...
The paper presents a hierarchical architecture for fault tolerant control of mechatronic systems. In the architecture, both the diagnosis and the reconfiguration are completely decentralized according to the structure of the control system. This is achieved by using a purely service oriented view of the system including both hardware and software. The service view with no cyclic dependencies is further...
In this paper, a robust fault-tolerant control strategy for constrained multisensor linear systems, subject to sensor faults and in the presence of bounded state and output disturbances is proposed. The scheme verifies that for each sensors-estimator combination, suitable residual variables lie inside pre-computed sets and selects the more appropriate combination based on a chosen criterion. An active...
In this paper, a fault tolerant control method based on the parametric estimation is presented and applied to the air path system of a diesel engine. This method uses directly the results of a parametric estimation of the system which is nonlinear and whose state variables and parameters are strongly coupled. Our goal is to adapt an Unconstrained Nonlinear Continuous-time Generalized Predictive Control...
This paper is concerned with switching systems which belong to a special class of Hybrid Dynamical Systems. The objective is to estimate switching times and to recognize the current mode. The general principle of the method is to use indicator signals, named residuals, which are generated by projecting the sensor measures into a subspace related to the input signals on a given time window. The advantage...
The first step of Model-based FDI technique is to determine at least a model of the system to monitor. This paper deals with an advanced open-loop identification formulation developed for linear stationary dynamical systems, including the model structure estimation. This approach leads to a kind of canonical state-space form, which is characterised by a mixed parameterisation using a Specific Form...
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