LAGIS HEI

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LAGIS HEI

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Kamal E.,LAGIS Polytechnic Lille | Aitouche A.,LAGIS HEI | Ghorbani R.,University of Hawaii at Manoa | Bayart M.,LAGIS Polytechnic Lille
International Journal of Power and Energy Systems | Year: 2012

The maximum power extraction algorithms for variable speed wind urbines subjected to a wide range of wind variation, unknown inputs disturbance and parameter uncertainties are discussed in this paper. he "Takagi-Sugeno TS) fuzzy model system with parametric uncertainties is adopted for modelling the nonlinear Wind Energy Conversion SystemWECS) and establishing unknown input fuzzy observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability. The problem is formulated and solved using a Linear Matrix InequalitiesLMIs). The main contribution of this paper is summarized in two points:i) the proposed fuzzy control and fuzzy observer are completely robust to the unknown inputs disturbance, a wide range of wind speed variations and parameter uncertainties;ii) maximizes the power that is produced from the wind. The control scheme is tested for random variation of wind speed pattern and provides satisfactory results.


Kamal E.,LAGIS Polytechnic Lille | Aitouche A.,LAGIS HEI | Ghorbani R.,University of Hawaii at Manoa | Bayart M.,LAGIS Polytechnic Lille
Control and Intelligent Systems | Year: 2012

This paper proposes the robust fuzzy fault tolerant control (FTC) problem for the fuzzy Takagi-Sugeno (TS) systems with sensor faults and actuator faults in the presence of parameter uncertainties. The TS fuzzy model is first employed to approximate a nonlinear uncertain system, and then the fuzzy sensor fault, fuzzy actuator fault model and the fuzzy state observer are developed. Sufficient stabilization conditions of the fuzzy FTC systems are given, which are formulated in terms of linear matrix inequalities (LMIs). The LMIs can be efficiently solved using the convex optimization techniques. Finally, fuzzy observer based on fuzzy fault tolerant controller is developed. It is shown that the fuzzy control system is reliable in the sense of that the closed-loop system is asymptotic stability and the all sensor and actuator components can operate well in the presence of some component failures. The control scheme is tested for real profiles of wind speed pattern and provides satisfactory results.


Kamal E.,French National Center for Scientific Research | Aitouche A.,LAGIS HEI | Bayart M.,LAGIS Pol.
2011 19th Mediterranean Conference on Control and Automation, MED 2011 | Year: 2011

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 (WECS), and then a model-based fuzzy scheduler controller design uses the concept of Parallel-Distributed Compensation (PDC). Sufficient stability conditions are expressed in terms of Linear Matrix Inequalities (LMIs) which can be solved very efficiently using convex optimization techniques. The design procedures are applied to a dynamics model of typical WECS to illustrate the feasibility and the effectiveness of the proposed control techniques. © 2011 IEEE.


Kamal E.,French National Center for Scientific Research | Aitouche A.,LAGIS HEI | Bayart M.,LAGIS Pol.
2011 19th Mediterranean Conference on Control and Automation, MED 2011 | Year: 2011

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 fuzzy state observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability and are formulated in Linear Matrix Inequalities (LMIs). To illustrate the effectiveness of the proposed controllers, they are applied to WECS subjected to uncertain or unknown parameters and sensor faults. © 2011 IEEE.


Aitouche A.,LAGIS HEI | Yang Q.,LAGIS HEI | Ould Bouamama B.,Laue Langevin Institute
EPJ Applied Physics | Year: 2011

This paper presents a procedure dealing with the issue of fault detection and isolation (FDI) using nonlinear analytical redundancy (NLAR) technique applied in a proton exchange membrane (PEM) fuel cell system based on its mathematic model. The model is proposed and simplified into a five orders state space representation. The transient phenomena captured in the model include the compressor dynamics, the flow characteristics, mass and energy conservation and manifold fluidic mechanics. Nonlinear analytical residuals are generated based on the elimination of the unknown variables of the system by an extended parity space approach to detect and isolate actuator and sensor faults. Finally, numerical simulation results are given corresponding to a faults signature matrix. © EDP Sciences, 2011.

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