Abdel Aitouche

Abdel Aitouche
French School of High Studies in Engineering · EEA

PhD

About

224
Publications
23,613
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Introduction
Abdel Aitouche currently works at the EEA, French School of High Studies in Engineering. Abdel does research in Automotive Systems Engineering, Automotive Engineering and Transportation Engineering, Renewable Energy. Their current project is 'Advanced Estimation Algorithms for critical autonomous vehicle applications'.

Publications

Publications (224)
Chapter
This work investigates fault detection of linear parameter-varying (LPV) systems with varying time delay. An unknown input observer (UIO) is designed here to estimate faults and to generate residuals. Based on the descriptor approach, we elaborate an augmented system which considers faults as auxiliary. Only sensor faults are considered in this wor...
Chapter
This paper deals with robust passive and active fault tolerant control strategies for uncertain systems with state time delays. First, the control law is formulated as H∞ model-matching problem in order to guarantee dynamic performances and to compensate fault effects. Indeed, a new stability condition, based on the Lyapunov-Krasovskii theory is de...
Article
This paper addresses the problem of observer-based stabilization of discrete-time linear systems in presence of parameter uncertainties and ℓ2-bounded disturbances. We propose a new variant of the classical two-step LMI approach. In the first step, we use a slack variable technique to solve the optimization problem resulting from stabilization by a...
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Full-text available
This paper presents a sensor fault estimation scheme for polymer electrolyte membrane (PEM) fuel cells using Takagi Sugeno (TS) fuzzy model. First, PEM fuel cell systems with sensor faults are modelled by TS fuzzy model. Next, by adding a first order filter, an augmented TS fuzzy system with actuator fault is obtained. Then, for the augmented syste...
Article
In this paper, robust fault diagnosis problem of Proton Exchange Membrane Fuel Cells (PEMFC) is presented based on Takagi-Sugeno (TS) Fuzzy Unknown Input Observer (FUIO). TS FUIO based on Linear Matrix Equalities (LMEs) and the Linear Matrix Inequalities (LMIs) are design. Firstly, the nonlinear PEMFC system with sensor faults and disturbance is re...
Article
Variable geometry turbocharger and exhaust gas recirculation valves are widely installed on diesel engines to allow optimized control of intake air mass flow and exhaust gas recirculation ratio. The positions of variable geometry turbocharger vanes and exhaust gas recirculation valve are predominantly regulated by dual-loop proportional–integral–de...
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This paper presents an actuator fault and disturbance estimation scheme using sliding mode observer (SMO) based on Takagi–Sugeno (TS) fuzzy system model. The TS model is first transformed in order to decouple disturbance and faults. Then a TS fuzzy SMO is developed for the transformed system. Finally, the disturbance and the fault are estimated usi...
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The paper focuses on the estimation of the sensor faults and the state variables, using an unknown inputs observer (UIO), applied to an induction machine. A model based on LPV (linear parameter varying) systems of the machine is used where the rotation speed is considered as a variable parameter. Then based on Lyapunov theory, a feasible algorithm...
Conference Paper
Full-text available
This paper studies the transfer of energy between the low-voltage grid and a battery through an inverter. The inverter is used to control the transfer of energy from the battery to the grid. The concept of multilevel voltage source inverter is described. A Takagi Sugeno fuzzy controller is employed to control the voltage inverter to ensure a consta...
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This paper presents an active fault tolerant control (FTC) for doubly fed induction generator (DFIG) with actuator fault and disturbance using Takagi–Sugeno (TS) fuzzy model. The control structure has two parts: fault and disturbance estimation part and FTC part. First, a TS fuzzy model is used to describe the DFIG system. Using a special linear tr...
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Two techniques for the control of a grid side converter in a wind energy conversion system. The system is composed of a fixed pitch angle wind turbine followed by a permanent magnet synchronous generator and power electronic converters AC-DC-AC. The main interest is in how to control the inverter in order to ensure the stability of the DC link volt...
Article
In this paper we use a Takagi–Sugeno (T–S) fuzzy approach to run a photovoltaic generator (PV) at its maximum power (MPPT). To control the power delivered by the generator, a boost converter dc/dc is used. By acting on the duty cycle of the converter, the photovoltaic generator operates at its maximum power. A T–S fuzzy controller is used to determ...
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Photovoltaic (PV) systems and fuel cells (FCs) represent interesting solutions as being alternative power sources with high performance and low emission. This work presents a modeling and control study of two power generators; photovoltaic array and fuel cell based systems. An MPPT approach to optimize the PV system performances is proposed. The PV...
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Full-text available
This paper proposes a fault tolerant control scheme based on an unknown input observer for a wind turbine system subject to an actuator fault and disturbance. Firstly, an unknown input observer for state estimation and fault detection using a linear parameter varying model is developed. By solving linear matrix inequalities (LMIs) and linear matrix...
Article
Control of power converters is undoubtedly an essential issue in wind-energy systems. This study focuses on the development of a control scheme dedicated to a wind-energy conversion system (WECS) based on Takagi-Sugeno (T-S) fuzzy model. The treated system includes a wind turbine followed by a permanent magnet synchronous generator and power electr...
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Full-text available
This paper presents an unknown inputs observer (UIO) applied to an induction machine (IM) in order to estimate the actuator faults and the state variables. Knowing that the machine used is highly nonlinear, a model based on LPV (linear parameter varying) system of the machine is used. Indeed, using the induction machine based on LPV model, we devel...
Conference Paper
Full-text available
This paper presents an actuator fault and disturbance estimation strategy using Takagi-Sugeno (TS) fuzzy model. In this approach, using a coordinate transformation, the TS fuzzy system is decomposed into three different modules: state subsystem without fault and disturbance, disturbance subsystem without fault, fault subsystem without disturbance....
Conference Paper
Full-text available
Abstract: We develop an optimization algorithm in order to improve the nonlinear optimal robust controller for diesel engine which equipped by Exhaust Gas Recirculation and Variable Geometry Turbocharger systems. For this goal we present a new way to search the optimal shape of control Lyapunov function which permits to calculate the parameters to...
Conference Paper
Full-text available
This paper proposes a robust unknown input observer for state estimation and fault detection using linear parameter varying model. Since the disturbance and actuator fault is mixed together in the physical system, it is difficult to isolate the fault from the disturbance. Using the state transforation, the estimation of the original state becomes t...
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This paper presents a new robust fuzzy control of energy management strategy for the stand-alone hybrid power systems. It consists of two levels named centralized fuzzy supervisory control which generates the power references for each decentralized robust fuzzy control. Hybrid power systems comprises: a photovoltaic panel and wind turbine as renewa...
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This paper presents an intelligent proportion-differential neural network (iPDNN) controller for unknown nonlinear systems. This controller is based on the intelligent proportion integration differentiation (iPID) controller. In an iPID controller system, a unknown nonlinear SISO system is regarded as an ultra-local two-order or one-order model and...
Article
This paper presents a robust controller for a variable speed wind turbine with a squirrel cage induction generator (SCIG). For variable speed wind energy conversion system, the maximum power point tracking (MPPT) is a very important requirement in order to maximize the efficiency. The system is nonlinear with parametric uncertainty and subject to l...
Conference Paper
In this paper, an observer is designed with the objective to detect leakages in pressurized water pipes. Three known time-varying measures at boundary (namely inlet and outlet pressures and inlet flow rate) are used to estimate the fourth boundary variable (namely outlet flow rate). A general nonlinear PDE model of the pipe is used to design the bo...
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This paper presents an intelligent proportional-integral sliding mode control (iPISMC) for direct power control of variable speed-constant frequency wind turbine system. This approach deals with optimal power production (in the maximum power point tracking sense) under several disturbance factors such as turbulent wind. This controller is made of t...
Conference Paper
This paper concentrates on the development of robust maximum power control for variable speed wind turbines with a double feed induction generator in the presence of wind disturbance and parameter uncertainties. To increment the actual manner for the wind turbine system, the effects of the mechanical and electrical part are taken in consideration....
Conference Paper
This paper presents an active fault tolerant control (AFTC) strategy for preserving the path tracking for an autonomous 2 wheel-steering 4 wheel-driving (2WS4WD) electrical vehicle in the presence of an actuator fault. It is based on a decentralized fault tolerant control strategy for overactuated systems. The strategy consists of generating new RE...
Article
The problem of Robust Simultaneous Fault Detection and Control (RSFDC) approach for a class of uncertain system with state time delay, was investigated in this paper. Based on a dynamic filter with state feedback controller, H∞ formulation of the RSFDC problem was presented. In fact, the idea given herein, is based on applying the advantages of dyn...
Conference Paper
Wind turbine system due to its aerodynamic and generator components is a nonlinear and strongly coupled system. These characteristics influence the efficiency and performance of the systems output. In order to improve the efficiency of Maximum Power Point Tracking (MPPT) and to produce more green energy, a novel control strategy which is based on R...
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Full-text available
This paper deals with the general framework of fermentation system modeling and monitoring, focusing on the fermentation of Escherichia coli. Our main objective is to develop an algorithm for the online detection of acetate production during the culture of recombinant proteins. The analysis the fermentation process shows that it behaves like a hybr...
Conference Paper
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The current paper is presenting a Takagi-Sugeno (T-S) fuzzy controller designed for a wind generation system in the objective of Maximum Power Point Tracking (MPPT). The considered Wind Energy Conversion System (WECS) is composed of a wind turbine and a Permanent Magnet Synchronous Generator (PMSG) associated to an AC-DC converter. First, the WECS...
Article
Presents information on the International Conference on Systems and Control.
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Full-text available
This paper deals with state estimation on a pressurized water pipe modeled by nonlinear coupled distributed hyperbolic equations for non-conservative laws with three known boundary measures. Our objective is to estimate the fourth boundary variable, which will be useful for leakage detection. Two approaches are studied. Firstly, the distributed hyp...
Conference Paper
This paper deals with a design of a Fuzzy Takagi Sugeno Observer for a class of nonlinear Photovoltaic (PV) systems. First, a nonlinear PV plant with a Takagi-Sugeno (TS) fuzzy model is presented. Then a model-based fuzzy observer design utilizing the concept of the Parallel Distributed Compensation (PDC) is used, in which observer gains are obtain...
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Full-text available
This paper presents a control strategy for a wind conversion system (WECS) based on permanent magnet synchronous generator (PMSG) and AC/DC converter in the objective of ensuring maximum power generation. The control aim is to track the generator speed with wind velocity variation in order to maximize the power output and enhance system performance...
Conference Paper
Wind speed forecasting is significant for power system operation. Accuracy and rapidity are essential requirements. This paper is proposed a combination method based on a fuzzy neural network. The combination weight of the proposed hybrid model which combines an Autoregressive Integrated Moving Average (ARIMA) model and a Radial Basis Function Neur...