scholarly journals A New DTC Scheme using Second Order Sliding Mode and Fuzzy Logic of a DFIG for Wind Turbine System

2016 ◽  
Vol 7 (8) ◽  
Author(s):  
Zinelaabidine BOUDJEMA ◽  
Rachid TALEB ◽  
Adil YAHDOU
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Second Order ◽  
Wind Turbine System ◽  
Second Order Sliding Mode

scholarly journals Higher Control Scheme Using Neural Second Order Sliding Mode and ANFIS-SVM strategy for a DFIG-Based Wind Turbine

2019 ◽  
Vol 8 (2) ◽  
pp. 17
Author(s):  
Habib Benbouhenni ◽  
Zinelaabidine Boudjema ◽  
Abdelkader Belaidi
Keyword(s):  
Wind Turbine ◽  
Fuzzy Inference ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Second Order ◽  
Inference System ◽  
Wind Turbine System ◽  
Control Scheme ◽  
Second Order Sliding Mode

In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind turbine system (WTS). The used hybrid control system composed of artificial intelligence techniques and second-order sliding mode applied to ensure better powers performances provided by the WTS. The obtained simulation results showed that the proposed control structure has active and reactive powers with low ripples and low stator current harmonic distortion.

scholarly journals Maximum Wind Power Tracking of Doubly Fed Wind Turbine System Based on Adaptive Gain Second-Order Sliding Mode

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hongchang Sun ◽  
Yaozhen Han ◽  
Lvyuan Zhang
Keyword(s):  
Wind Turbine ◽  
Upper Bound ◽  
Reactive Power ◽  
Sliding Mode ◽  
Second Order ◽  
Electromagnetic Torque ◽  
Wind Turbine System ◽  
Control Scheme ◽  
Doubly Fed ◽  
Second Order Sliding Mode

This paper proposes an adaptive gain second-order sliding mode control strategy to track optimal electromagnetic torque and regulate reactive power of doubly fed wind turbine system. Firstly, wind turbine aerodynamic characteristics and doubly fed induction generator (DFIG) modeling are presented. Then, electromagnetic torque error and reactive power error are chosen as sliding variables, and fixed gain super-twisting sliding mode control scheme is designed. Considering that uncertainty upper bound is unknown and is hard to be estimated in actual doubly fed wind turbine system, a gain scheduled law is proposed to compel control parameters variation according to uncertainty upper bound real-time. Adaptive gain second-order sliding mode rotor voltage control method is constructed in detail and finite time stability of doubly fed wind turbine control system is strictly proved. The superiority and robustness of the proposed control scheme are finally evaluated on a 1.5 MW DFIG wind turbine system.

scholarly journals Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

2021 ◽  
Vol 14 (1) ◽  
pp. 484-495
Author(s):  
Rania Moutchou ◽  
◽  
Ahmed Abbou ◽  
Salah Rhaili ◽  
◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Control Strategy ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Second Order ◽  
Permanent Magnet Synchronous Generator ◽  
Mode Control ◽  
Second Order Sliding Mode

This paper presents a modelling study and focuses on an advanced higher order slip mode control strategy (Super Twisting Algorithm) for a variable speed wind turbine based on a permanent magnet synchronous generator to capture the maximum possible wind power from the turbine while simultaneously reducing the effect of mechanical stress, powered by a voltage inverter and controlled by vector PWM technique. This paper presents first and second order sliding mode control schemes. On the other hand, a challenging matter of pure SMC of order one can be summed up in the produced chattering phenomenon. In this work, this issue has been mitigated by implementing a new control. The proposed control, characterized by a precision in the case of a continuation of a significant reduction of the interference phenomenon, successfully addresses the problems of essential non-linearity of wind turbine systems. This type of control strategy presents more advanced performances such as behaviour without chattering (no additional mechanical stress), excellent convergence time, robustness in relation to external disturbances (faults in the network) and to non-modelled dynamics (generator and turbine) which have been widely used in power system applications by first order sliding mode control. In particular, second-order sliding regime control algorithms will be applied to the PMSG to ensure excellent dynamic performance. The suggested control is compared to the proportional-integral controller and sliding mode control of order one. The results of simulations under turbulent wind speed and parameter variations show the efficiency, robustness and significantly improved performance of the proposed control approach to distinguish and track quickly (about 10ms depending on the shading pattern) and at the same time saving the main priorities of the sliding mode of order one by reducing the existing chatter. The systems performances were tested and compared using Matlab/Simulink Software.

scholarly journals Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor

2021 ◽  
Vol 54 (3) ◽  
pp. 475-485
Author(s):  
Izzeddine Dilmi ◽  
Abderrahmen Bouguerra ◽  
Ali Djrioui ◽  
Larbi Chrifi-Alaoui
Keyword(s):  
Fuzzy Logic ◽  
Active Fault ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Short Circuit ◽  
Fault Tolerant Control ◽  
Second Order ◽  
Interval Type ◽  
Second Order Sliding Mode

This paper addresses the detection of the short-circuit faults and the active fault tolerant control (AFTC) of the brushless direct current motor (BLDCM) based on the interval type-2 fuzzy-second order sliding mode. In this article, the main idea consists of using an algorithm to detect the fault in an electric current. This algorithm corrects the detected fault. In this study, a hybrid technique of fault tolerant control is proposed. This technique based on interval type 2 fuzzy logic and second order sliding mode. Also, it facilitates the procedures for setting and controlling the velocity of BLDCM. For that, a dynamic model for direct current has been established. Furthermore, short circuit faults have also been introduced between turns to test the robustness of the control laws. Finally, a theoretical analysis is presented and the simulations are presented in order to validate the proposed control strategy. The proposed AFTC can then achieve favorable tracking performance.

scholarly journals Using Adaptive Second Order Sliding Mode to Improve Power Control of a Counter-Rotating Wind Turbine under Grid Disturbances

2020 ◽  
Vol 22 (6) ◽  
pp. 427-434
Author(s):  
Adil Yahdou ◽  
Abdelkadir Belhadj Djilali ◽  
Zinelaabidine Boudjema ◽  
Fayçal Mehedi
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Control Scheme ◽  
Doubly Fed ◽  
Twisting Algorithm ◽  
Unbalanced Network ◽  
Second Order Sliding Mode

This work presents a new control strategy for counter-rotating wind turbine (CRWT) driven doubly-fed induction generator (DFIG) under grid disturbances, such as unbalanced network voltage scenarios. The proposed strategy based on the power control used dynamic gains second order sliding mode control (SOSMC). The power control of a DFIG by SOSMC widely based on the super-twisting (ST) algorithm with invariable parameters and sign functions. The proposed control method consists in using dynamic-parameters ST algorithm that ensures a better result than a conventional strategy. The proposed control scheme used 2 sliding surfaces such as reactive and active powers to control them. Also, the sign functions are replaced by saturation (sat) functions in order to minimize the chattering problems. Simulation results depicted in this research article have confirmed the good usefulness and effectiveness of the proposed adaptive super-twisting algorithm of the CRWT system during grid disturbances.

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