Overall fuzzy logic control strategy of direct driven PMSG wind turbine connected to grid

The fuzzy logic strategies reported in the literature about the control of direct drive permanent magnet synchronous generator (PMSG) connected to grid are limited in terms of inclusiveness and efficiency. So an overall control based on fuzzy logic and anti-windup compensation is proposed in this paper. Aiming at the inadequate of hill climb search (HCS) MPPT with fixed step size, the fuzzy logic is introduced in the stage of "generating rotor speed reference" to overcome the oscillations and slowness in traditional method. PI controllers are replaced by anti-windup fuzzy logic controllers in the "machine side control" stage and in "grid side control" stage to pertinently regulate the reference parameters. Then comparison tests with classical methods are implemented under varying climatic conditions. The results obtained demonstrate that the developed control is superior to other methods in response time (less than 4.528E-04 s), precision (an overshoot about 0.41%) and quality of produced energy (efficiency is 91%). The study verifying the feasibility and effectiveness of this algorithm in PMSG wind turbine connected to grid

Fuzzy-Variable Gain Super Twisting Algorithm Control Design for Direct-Drive PMSG Wind Turbines

58th IEEE Conference on Decision and Control (CDC), Nice, FRANCE, DEC 11-13, 2019International audienceThis paper presents a nonlinear control strategy based on variable gain super-twisting algorithm (VGSTA) assisted with a fuzzy logic controller (FLC) to maximize the extracted power of a wind energy conversion system (WECS). The studied system in this paper is composed by: a wind turbine, a permanent magnet synchronous generator, a controlled bridge rectifier connected to a permanent-magnet DC motor used to drive a centrifugal pump. Unlike the most studied standalone wind energy conversion systems in literature, that use a resistive load, this work consider a nonlinear load represented by a motor-pump group. The proposed Field Oriented Control (FOC) based on Fuzzy-Variable Gain Super Twisting Algorithm, allows dealing with the non-linearity of the wind turbine and load characteristics, adding to that the different perturbations and disturbances that such system can occurs. The obtained results show high tracking performances with very small error, without chattering phenomenon and a high stability and robustness against wind speed change

Adaptation mechanism techniques for improving a model reference adaptive speed observer in wind energy conversion systems

International audienceRotational speed sensor is one of the most important components used in wind energy conversion system control strategies. The latter is very expensive and may be faulty due to the harsh environment working, causing by that a low efficiency operation of the system. The use of a speed estimator or an observer may be a good alternative solution for the use either in sensorless control or detecting the sensor failure or degradation (FDI and FTC), provided that the observer is robust and ensures high rotational speed estimation accuracy. This paper presents a comprehensive study to solve the optimization problem of a model reference adaptive speed (MRAS) observer in a typical wind energy generation system based on permanent magnet synchronous generator using five adaptation mechanisms: The first one is the classical MRAS observer; it is based on proportional-integral (PI) controller. The second one uses a fuzzy logic controller (FLC) with two inputs. The third one uses the single-input fuzzy logic controller which represents the simplification of the conventional FLC. The fourth one uses the sliding mode controller, and the last one uses the super-twisting algorithm. A detailed comparison between the five adaptation mechanisms is carried out. The obtained results show a good estimation stability as well as a fast speed estimation at dynamic regime for the improved adaptation mechanisms compared with the conventional PI controller

Power Maximization Analysis of a Wind Electric Water Pumping System using STATCOM and Modified Enhanced Perturb & Observe

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Signed-Distance Fuzzy Logic Controller Adaptation Mechanism based MRAS Observer for Direct-Drive PMSG Wind Turbines Sensorless Control

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Enhanced Three-Phase Inverter Faults Detection And Diagnosis Approach - Design And Experimental Evaluation

Efficiency, reliability, high power quality and continuous operation are important aspects in electric vehicle attraction system. Therefore, quick fault detection, isolation and enhanced fault-tolerant control for open-switches faults in inverter driving systems become more and more required in this filed. However, fault detection and localization algorithms have been known to have many performance limitations due to speed variations such as wrong decision making of fault occurrence. Those weaknesses are investigated and solved in this paper using currents magnitudes fault indices, current direct component fault indices and a decision system. A simulation model and experimental setup are utilized to validate the proposed concept. Many simulation and experimental results are carried out to show the effectiveness of the proposed fault detection approach

Behavior Analysis Of Asynchronous Wind Turbine In Presence Of Static Synchronous Compensator Operating With Fuzzy Logic Voltage Controller

International audienceThe aim of this paper is to discuss and demonstrate how a Static Synchronous Compensator (STATCOM) is used with a Single Input Fuzzy Logic Controller (SIFLC) to improve voltage profile and stability of an asynchronous wind turbine. In the literature, it is well known that reactive power management is the greatest challenge in wind turbine based on a three-phase Self-Excited Induction Generator (SEIG). Any variation of wind speed or load causes a variation on the needed reactive power and thus a voltage fluctuation. Flexible AC transmission (FACT) device such as STATCOM become then a necessity to prevent voltage instability and hence voltage collapse at the point of common coupling (PCC). The performance of the proposed compensator can be significantly improved when combined with a SIFLC. The present document traits so the modeling of the power system, the simulation results, the control scheme and the design of the proper SIFLC

Signed-Distance Fuzzy-Logic Sliding-Mode Control Strategy for Floating Interleaved Boost Converter

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Sliding Mode & Single Input Fuzzy Logic Controllers for Voltage Regulation Of an Asynchronous Wind Turbine Using STATCOM

International audienceThis paper demonstrate the fiability and the efficiency of a proposed control law based on a combination of sliding mode and single input fuzzy logic controllers, used to command a static synchronous compensator in order to improve voltage profile and stability of an asynchronous wind turbine despite wind speed and load variation. All simulation results as well as the modeling of the wind power system and the design of the proper controllers are described in detail in this document