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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 design of sliding mode observers for gyro and thruster fault detection and isolation in the Mars Express satellite is presented. The results are part of a project with the goal of examining the potential applicability of the sliding mode observer technique to on-board satellite deployment. A Monte Carlo campaign has been performed to assess the performance and robustness of the sliding...
This paper proposes a fault-tolerant control strategy for a nonlinear electro-hydraulic system. The fault-tolerant control scheme consists a fault diagnosis system and a reconfigurable controller. The fault diagnosis system is designed based on differential-geometric approach and is robust to system disturbance. Adaptive backstepping method is utilized for realizing the reconfigurable controller....
This paper deals with the fault detection occurred in the mechanical position sensor of a mechatronic actuator Pierburg which is used in the BMW M57 diesel engine. This actuator is in charge of the control of the input air in the vehicle engine. Concretely, it is located between the throttle valve and the combustion chamber. It is supposed to ensure the control of air flow entering to the cylinder...
This paper proposes two observer-based FDI strategies for nonlinear systems represented by a particular class of multiple model using heterogeneous submodels. The structure of this interesting multiple model is firstly presented in order to design two kinds of state observers. The first observer, known as proportional observer (PO), is an extension of the classic Luenberger observer, in this way,...
In this work the application of a full-order observer to a binary distillation column, using a strategy to simplify the nonlinear model is presented. Mainly for process system, it is feasible to use differential-algebraic equations for describing the dynamical behavior of the plant. A mathematical model is an extension of the traditional chemical and physical laws (such as the laws of conservation...
This paper deals with state estimation and fault detection in the presence of unknown but bounded state perturbations and measurement noise. In this context, most available results are for linear models. Based on interval analysis, a state estimator for nonlinear dynamical systems is presented. Given the perturbation and noise bounds, the proposed method evaluates a set estimate guaranteed to contain...
This paper proposes a fault detection method for hysteretic base-isolation systems. One of the key contributions of this work is a Lyapunov-based restoring force observer that leads to the design of a robust fault detection scheme. The different fault types considered are stiffness and damping variations in the system. The proposed fault estimation method provides a direct estimate of the size and...
In this paper, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals using a LPV observer. The problem of robustness is faced using adaptive thresholds generated with interval observers. Fault isolation is performed using structured residuals once the fault has been detected. The algorithm proposed here is able to identify...
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