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.

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 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 Finite-Time Synchronization for Uncertain Master-Slave Chaotic System via Adaptive Super Twisting Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
P. Siricharuanun ◽  
C. Pukdeboon
Keyword(s):  
Sliding Mode Control ◽  
Chaotic System ◽  
Finite Time ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Control Technique ◽  
Mode Control ◽  
Twisting Algorithm ◽  
Second Order Sliding Mode

A second-order sliding mode control for chaotic synchronization with bounded disturbance is studied. A robust finite-time controller is designed based on super twisting algorithm which is a popular second-order sliding mode control technique. The proposed controller is designed by combining an adaptive law with super twisting algorithm. New results based on adaptive super twisting control for the synchronization of identical Qi three-dimensional four-wing chaotic system are presented. The finite-time convergence of synchronization is ensured by using Lyapunov stability theory. The simulations results show the usefulness of the developed control method.

Hydropower Plant Load Frequency Control Via Second-Order Sliding Mode

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Xibei Ding ◽  
Alok Sinha
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Frequency Control ◽  
Second Order ◽  
Load Frequency Control ◽  
Hydropower Plant ◽  
Mode Control ◽  
Twisting Algorithm ◽  
Second Order Sliding Mode

Super-twisting algorithm, a second-order sliding mode control method, is studied for hydropower plant frequency control. Two versions of this algorithm are introduced in this paper. Simulation results from both of these second-order methods and regular sliding mode control are compared on the basis of system responses and control efforts. It is shown that the second-order sliding mode controller is able to reduce chattering effects associated with the regular sliding mode control and preserve the robustness of the regular sliding mode control as well.

Sign in / Sign up

Export Citation Format

Share Document