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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...
Leaks are present to some extent in all water-distribution systems. This paper proposes a leakage localization method based on pressure measurements and the application of principal component analysis to the fault diagnosis in water distribution systems. First, some theoretical basics are introduced, from model building and modeling the fault effects to monitoring. Then a simple hydraulic case study...
This paper investigates the disturbance rejection problem of nonlinear MAGnetic LEViation (MAGLEV) suspension system with “mismatching” disturbances. Here “mismatching” refers to the disturbances that enter the system via different channel to the control input. The disturbance referring in this paper is mainly on load variation and unmodeled nonlinear dynamics. By linearizing the nonlinear MAGLEV...
This paper presents a systematic design framework for selecting the best sensor set to control an EMS system subject to satisfying a set of complex requirements such as optimum performance, robustness and sensor fault tolerance. The design framework combines the ℋ∞ robust control design, fault tolerance concept and heuristic approaches. The efficacy of the scheme is illustrated via application to...
This paper deals with an important practical control problem in systems that can switch between different operating modes. We presents a self-conditioned implementation of any two-degree-of-freedom (TDOF) controller which allows a smooth transition when switching between a controller acting in closed-loop and another controller in a bank of idle controllers waiting to take over the control loop. Here,...
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...
The problem of infinite-horizon H∞ state-feedback tracking for linear continuous time-invariant retarded systems with stochastic parameter uncertainties is investigated. We consider the case where the reference signal is previewed in a fixed time-interval ahead. The stochastic uncertainties appear in the dynamics matrices for both the retarded and the non retarded states of the system. The delayed...
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...
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...
This paper explains the whole process of a system design for the remote control of a stepper motor via web server. For this purpose a hardware structure is fully designed and implemented. Two types of communications were used to operate with the stepper motor. The first is realized by serial RS-232 protocol and the second one uses TCP/IP protocol for remote control. The TCP/IP protocol provides communication...
We show that the diagnosability problem on a Petri net can be re-formulated in terms of LTL-X model checking. The advantage of this is that existing efficient methods and tools can be employed, in particular parallel model checking based on Petri net unfoldings. The experimental results show that this approach is efficient, and a good level of parallelisation can be achieved.
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...
All the methods for Fault Detection and Isolation (FDI) involve internal parameters, often called hyperparameters, that have to be carefully tuned. Most often, tuning is ad hoc and this makes it difficult to ensure that any comparison between methods is unbiased. We propose to consider the evaluation of the performance of a method with respect to its hyperparameters as a computer experiment, and to...
The paper deals with robust fault detection for nonlinear continuous-time systems based on a LPV transformation. The adaptive set observers technique is applied for joint state and parameter estimation in order to avoid the exponential complexity obstruction usually met in the set-membership nonlinear estimation. The obtained estimates on the sets of admissible values for the parameters and the state...
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,...
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...
A routing-scheduling problem in a class of manufacturing systems is considered for a group of autonomous vehicles moving in a common working space to perform a given set of tasks. The vehicles subject to unforeseen events, e.g. disruptions, failures, collisions which should be omitted, requiring the adaptation of originally developed schedules. Two approaches based on proactive and reactive scheduling...
This paper presents a networked fault-tolerant control strategy based on control allocation which is applied to a modern aircraft. The proposed method utilizes the benefits of networked control system architecture in which smart sensors/actuators are interconnected through a bi-directional digital communication network. A smart actuator, the paper focuses on, is capable of providing the supervisor...
Significant research has been carried out over the past three decades in the area of fault tolerant control. Most methods available in the chemical engineering literature are capable of detecting, identifying, estimating and accommodating faults for nonlinear processes with continuous states without state dependent and controlled switching. This work is aimed at developing a method for diagnosing...
In this paper, we present an overall study focused on the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The obtained model from the identification procedure is sufficiently closer to the practical actuator behavior and captures most of its characteristics...
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