This paper focuses on the design of instrumentation of the control system for electrical vehicle model. The method is based on a structural model that describes qualitatively the different relations of the physical variables. The motivation for the choice of structural analysis approach is that this analysis uses a poor knowledge of the system; it uses only the relation between constraints and variables. By analyzing this model, we obtain the different ways to control the unknown variables in function of the sensors measurements and thanks to the available actuators. The main contributions of this paper combines the merits of: i) the modified structural analysis model in order to take into account different operating cases slope of the road constant and variable and their specific features; ii) to study reject disturbance using graph techniques; iii) to obtain the optimal instrumentation for the system of electrical vehicle which insure controllability in despite of the disturbance.

 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 such as Linear Matrix Inequalities (LMIs) and Linear Matrix Equations (LMEs). The derived stability conditions are used to analyze the stability of TS fuzzy control systems with parameters uncertainties, sensor faults and unknown inputs which can be regarded as a generalized class of uncertain nonlinear faulty systems. The design method employs the so-called Parallel Distributed Compensation (PDC). Important issues for the stability analysis and design are remarked. Finally, Wind Energy Systems (WES) with a Doubly-Fed Induction Generator (DFIG) example is illustrated to show the effectiveness of the proposed design method.

 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 in the format of Linear Matrix Equalities (LMEs). The proposed algorithm able to maintain the system stable during the actuator faults and parameter uncertainties. The design technique is applied to a dynamic model of wind energy conversion system to illustrate the effectiveness of the proposed RFTC

 This paper presents a new strategy to robust fault tolerant control (FTC) to optimise the wind energy captured by a wind turbine operating at low wind speeds, using a form of adaptive gain Sliding Mode Control (SMC). In addition to the inherent robustness of SMC against model uncertainty, the proposed method involves a robust descriptor observer design that can provide robust simultaneous estimation of states and the unknown outputs (sensor faults and noise) in order to guarantee the robustness of the sliding surface against unknown output effects. Moreover, the sliding surface is designed to achieve the required objectives by utilizing a nonlinear flexible two mass model of the variable speed wind turbine. The proposed FTC SMC method is applied to a 5 MW wind turbine benchmark model.

  This work focuses on the preliminary study of an integratedhybridsystemto produce hydrogen from bio- ethanol using solar energy as an auxiliary power source. It is analyzed for mobile applications, particularly, for a system that can use an on-boardbio-ethanol processor. The solar power is used for promoting the reforming reaction for hydrogen production to feed a PEM fuel cell. This new concept increases the fuel economy because avoid burning a part of bio-ethanol for producing the reforming reaction. A dynamic model of this integrated system with the controlstructure is presented. It allows to test an energy management strategy (EMS) to best satisfy the power demand of the fuel cell. The simulation results are carried out to illustrate the applicability and effectiveness of this new proposed hybrid system.

 With the increasing nominal power of wind energy converters, an optimized management, a higher level of efficiency and reduced costs are needed. In search of suitable generator systems for wind turbines in the MW class, the permanent-magnet synchronous machine as a generator moves to the focus of current discussions. The Rotor and its blades are able to oscillate due to various dynamic loads a wind energy converter is exposed. In wind energy converters in the Multi MW-class the natural frequencies of the blades have the same range as the naturals of the drive train. Thus blades are no longer isolated from the generator and inverter system to consider in terms of their dynamics, but must be embedded in the overall structure of the energy conversion train. This paper deals with the different types of rotor blade oscillations and its influence to the drive train as well as the possibility to influence the oscillations using a new control strategy for the drive train.