38 research outputs found
Fuzzy monitoring of stator and rotor winding faults for DFIG used in wind energy conversion system
No full textFuzzy monitoring of stator and rotor winding faults for DFIG used in wind energy conversion system
No full textEtude pétro-structurale du contexte de bentonitisation dans la région de M’zila (Mostaganem) : pétrographie, cartographie et bilan des données sur le phénomène de bentonitisation
No full text86 p. : ill. ; 30 cm. (+ CD-Rom)Les gisements de bentonite de l’oranie orientale, se localisent plus précisément, au sein du domaine tellien dans le bassindu bas Chélif,à la périphérie dans les plateaux de Mostaganem.
Notre étude essentiellement concerne les couches d’argiles bentonitiques exploitées par ENOF bental affleurent en périphérie du synclinal de M’Zila, à environ 10 km à l’Est du village d’Achastas et 35km â l’ENE de la ville de Mostaganem. A cet effet, la présente étude nous a permis de faire le point sur le phénomène de bentonitisation dans cette région en observante sure le terrain et ou laboratoire les dépôts concerné pare le phénomène de benonitisation.
Notre étude et basé sure la stratigraphie, et les analyse pétrographiques les différentes fasciées bentonitisé, et la morpho tectoniques du secteur étudié
Cascaded Predictive Controller design for speed control and Load Torque rejection of Induction Motor
No full textInternational audienceCascaded nonlinear predictive controller for induction motor drive is presented. The load torque, considered as an unknown disturbance, is rejected using a disturbance observer. First, a nonlinear multivariable predictive controller is applied to track electromagnetic torque and rotor flux norm trajectories. Then, a speed predictive control strategy is carried out from the electromechanical equation of the machine. Both controllers are applied in a cascade structure to induction motor. The prediction model is carried out via Taylor series expansion using Lie derivatives for nonlinear model. The derived predictive law minimizes a quadratic performance index of the predicted tracking error for multivariable system and a predicted error for speed control. The implementation of the cascaded control law does not need an on line optimization and the tracking of desired trajectories is achieved successfully. The load torque observer, derived from the speed predictive control, is simplified to a PI structure. This observer structure guarantees the disturbance rejection and the robustness to parameters variations. Simulation results show the high performance of the proposed control scheme
Wind characteristics analysis and application of control strategy for wind system based on direct power control
Get PDFThis study analyses yearly and seasonal wind speed data recorded over eight years using Weibull distribution function and the direct power control application of a wind chain. The wind potential evaluation was carried out based on empirical model. Results show that, during the warm months the wind speed is uniform, constant and stable. In addition, it has been found that the use of a control strategy was necessary for extracting the optimum power. For this purpose, the second part of this work presents a direct power control (DPC) technique in order to adjust the produced active and reactive powers. The application and performance evaluation of the proposed control system implemented within the d-q reference framework has been exposed and discussed. The system modeling and the control diagram are built under MATLAB software. According to simulation results, the forward power control provides almost sinusoidal input waveform current, constant switching frequency operation, unity power factor regulation and also provides powers decoupling. As shown by simulation results, the suggested control method is efficient
Condition Monitoring and Fault Detection in Wind Turbine Based on DFIG by the Fuzzy Logic
No full textAbstractDoubly-fed induction generator is widely used in wind turbine conversion systems. Several research works are being made to efficiently approve existing condition monitoring and fault detection techniques for these systems. The condition monitoring of these systems becomes more and more important, the main obstacle in this task is the lack of an accurate analytical model to describe a faulty DFIG in the majority of the research tasks. In this paper, we present the monitoring strategy of short-circuit fault between turns of the stator windings and open stator phases in doubly-fed induction generator by fuzzy logic technique. The stator condition monitoring is diagnosed based on the root mean square values of current magnitude in addition to the knowledge expressed in rules and membership function. The proposed strategy is verified using simulations performed via the model of Doubly-fed induction generator built in Mat Lab ® SIMULINK
Optimized ANN-fuzzy MPPT controller for a stand-alone PV system under fast-changing atmospheric conditions
Get PDFSolar energy is one of the most promising renewable energy resources. Over the last few decades, photovoltaic (PV) systems have grown in popularity. Since the maximum power point (MPP) of a solar system changes with environmental circumstances, the maximum power point tracking (MPPT) technique is required to get the most power out of the solar system. Various MPPT techniques based on classical and artificial intelligence (AI) methodologies have been proposed in the literature so far. In this paper, we aim to provide a thorough comparative analysis of the most widely used MPPT algorithms based on AI. The MPPT techniques discussed are based on fuzzy logic (FL), artificial neural networks (ANN), and the suggested hybrid approach ANN-fuzzy. The designed MPPT controllers are evaluated in the same PV system, which consists of a PV module, a DC-DC boost converter, and a DC load, under the same weather profile. Using the MATLAB/Simulink simulation tool, the tracking accuracy, response time, overshoot, and steady-state ripple of each method are tested in different weather conditions. The simulation results show that the ANN-fuzzy proposed tactic outperforms both the FL and the ANN MPPT controllers in correctly and successfully tracking the maximum power under diverse atmospheric conditions
Robust cascaded feedback linearizing control of nonholonomic mobile robot
No full textInternational audienceIn this paper, the problem of tracking control of nonholonomic mobile robot is investigated using feedback linearizing control. A cascaded control strategy has been designed to control the real mobile robot (kinematic model and robot dynamics), where the inner loop control for dynamics model is based on inverse dynamics and the outer loop control based on dynamic feedback linearizing control is carried out for kinematics model. The closed loop system is fully linearizable and described by a chain of integrators, and an exponentially stabilizing feedback for the desired trajectory can be designed for pole placement. The controller deals with unknown disturbance through a compensator carried out from the dynamics controller. The disturbance compensator contains an integral action, which eliminates the steady errors and enhances the robustness of the control scheme. Simulations are carried out for a nonholonomic mobile robot to verify the performance of the proposed control scheme
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic
No full textThe monitoring and fault detection of the induction machines drives becomes more and more important. This made necessary the monitoring function condition of these machines for improved an exploitation of the industrial processing. The aim of this task is the proposal of a monitoring strategy based on the fuzzy logic inference system, that informs us about the healthy function and stator fault condition, especially the open circuit and short-circuit inter-turns of the stator windings. The principle adopted for the strategy suggested is based on monitoring of the average root mean square value of stator current (RMS). Theoretical analysis, simulations results are presented to validate the effectiveness of the proposed method
Diagnosis and classification using ANFIS approach of stator and rotor faults in induction machine
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