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In this paper, the tracking control of nonlinear systems based on the fuzzy-model-based approach is proposed. A Fuzzy Controller (FC) was designed to drive the system states of the nonlinear system to follow those of a reference input. Stability conditions are derived to guarantee the system stability. Moreover, the proposed controller is designed to control the Maximum Power Point Tracking (MPPT)...
A new Fuzzy Fault Tolerant Control (FFTC) algorithm is proposed for nonlinear Takagi-Sugeno (TS) systems with parameter uncertainties. The modifications made in this approach enable robust handling of multiple simultaneous sensor failures. The control law aims to compensate for sensor faults and allows the system states to track a reference corresponding to a fault free situation. The proposed FFTC...
In this paper, a new Fuzzy Scheduler Fault Tolerant Controller (FSFTC) is proposed for nonlinear systems subject to sensor faults, actuator faults, parameter uncertainties, and wind disturbance. By establishing the actuator fault and sensor fault models, an observer based fuzzy output feedback fault tolerant controller is developed and the stability conditions are established with Lyapunov theory...
In this paper we propose the Robust Fault Tolerant Control (RFTC) for Wind Energy System (WES) subject to actuator faults and time-varying bounded parameter uncertainties. The algorithm utilizes fuzzy systems based on “Takagi-Sugeno” (TS) fuzzy models to represent nonlinear systems. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and are formulated...
This paper addresses stability analysis for a class of nonlinear systems with sensor faults and unknown inputs in the presence of parameter uncertainties and a method for designing robust fuzzy Fault Tolerant Controllers (FTC) to stabilize the uncertain nonlinear faulty systems. New stability conditions for a generalized class of uncertain faulty systems are derived from robust FTC control techniques...
In this paper, new fuzzy scheduler fault tolerant control (FSFTC) is proposed to tackle multivariable nonlinear systems subject to sensor faults and parameter uncertainties. The algorithm based on reconfiguration mechanism is then investigated for detection, isolation and accommodation of sensor faults. Takagi-Sugeno (TS) fuzzy model is employed to represent the nonlinear wind energy conversion systems...
In this paper we propose a multiobserver switching control strategy for robust Active Fault Tolerant Fuzzy Control (AFTFC) of variable-speed Wind Energy Conversion Systems (WECS) in the presence of wind variation, grid disturbance, parametric uncertainties and sensors faults. The “Takagi-Sugeno” (TS) fuzzy model with parametric uncertainties is adopted for modelling the nonlinear WECS and establishing...
This paper presents the novel Fuzzy Fault Tolerant Control (FFTC) of Wind Energy Conversion System (WECS) subject to actuator faults. The proposed algorithm combines the merits of: (i) The states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of actuator faults; (ii) Maximizes the power coefficient for a fixed pitch variable speed wind turbines...
Deploying inter-vehicular applications is a challenging task due to the high mobility and the dynamic topology changes. These characteristics cause frequent network disconnections and drastically reduce the efficiency of traditional ad hoc routing protocols. To address this issue, we introduce a new routing approach called “Road Connectivity-based Routing for VANETs” (RCBR) that improves routing performance...
In this paper, two model based approaches are proposed in order to detect and to isolate sensor and actuator faults on an electric autonomous vehicle. The first one is based on sliding mode observers. The principle is to reconstruct the state vector and the outputs of the system by sliding mode observers and to compare the estimated outputs with those measured, the obtained difference is considered...
This paper continues to present the framework of multi-faults diagnosis from the preceding paper. There are two main contributions in this part. One is aimed at developing a new diagnostic process for continuous and dynamic system and its corresponding consistency-checking module. This diagnostic process and its consistency-checking module are all based on the models defined by STRIPS (STandford Research...
This paper is part I of a two part effort that is intended to present a framework of multi-faults diagnosis. Reiter has proposed a consistency-based approach for multi-faults diagnosis. We extend his theory to deal with the dynamic and continuous systems and offer a necessary assumption and a formal demonstration. Multi-faults diagnosis is a partially observable problem because there is usually not...
In this paper, we introduce a new geographic routing scheme for urban vehicular environments called ??Dynamic Road Connectivity-based Routing?? (D-RCBR). The proposed approach exploits distributed information about road connectivity and vehicles distribution to optimize routing decisions. To ensure the packet delivery, D-RCBR defines a new concept of Road Connectivity that provides local topology...
This paper deals with sensors faults detection and isolation using method by observers. The principle is to reconstruct the state vector and measurements of the system by sliding mode observers and compare the estimated outputs with those measured. In this work, a multi observer's technique is used. It consists on construction of many observers, at least one observer for each output (sensor measurement)...
This paper proposes a generic component model (GCM) to give a functional representation of large scale systems. The GCM rests on the notion of services provided by components and their organization into operating modes. To each operating mode corresponds a behavior model uses as reference to diagnose fault. Faults are detected by local diagnosers built on subsystems using a merging procedure without...
This paper proposes a formal framework for reconfigurable control, based on model checking. This framework first generates a flexible model (i.e., an execution structure) according to the diagnosis, then defines a temporal specification language to deal with the problems due to infinite execution cycles and non-determinism, and finally provides the algorithms that will automatically verify whether...
The main purposes of this paper concern: fault generation of nonlinear Analytical redundancy for actuator faults of electric vehicle. These relations are used to detect and isolate actuator Fault based on the elimination of the unknown variables of the system. Each residual, obtained by elimination theory, is sensitive to only one actuator fault thanks decentralization of the electric vehicle known...
The main purposes of this paper concern: fault generation of nonlinear analytical redundancy for actuator faults of electric vehicle. These relations are used to detect and isolate actuator fault based on the elimination of the unknown variables of the system. Each residual, obtained by elimination theory, is sensitive to only one actuator fault thanks decentralization of the electric vehicle known...
The main purpose of this paper concerns a fault tolerant control applied on an electric vehicle known as RobuCar which is a 4times4 electric vehicle, with four electromechanical wheel systems. Fault tolerant control (FTC) is attended to continue the system operation in the presence of several faults in order to remain the security of the system. Active fault tolerant control (AFTC) approach needs...
This paper deals with the safety evaluation process required by law for high safety related system in rail in Europe. A methodology is given to guide the independent analysis and evaluation process. In a general framework for requirement engineering process, the proposed methodology aims at speeding up the process of safety evaluation and to facilitate the work of the independent checker and of the...
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