A new fuzzy sliding-mode control for MW variable speed-variable pitch wind turbine

2006 ◽  
Author(s):  
Yigang Kong ◽  
Zhixin Wang ◽  
Hai Yuan
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Variable Speed ◽  
Fuzzy Sliding Mode Control ◽  
Variable Pitch ◽  
Mode Control ◽  
Fuzzy Sliding Mode

scholarly journals Control of Variable Speed Variable Pitch Wind Turbine at Above and Below Rated Wind Speed

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Saravanakumar Rajendran ◽  
Debashisha Jena
Keyword(s):  
Wind Speed ◽  
Sliding Mode Control ◽  
Wind Turbine ◽  
Control Region ◽  
Sliding Mode ◽  
Variable Speed ◽  
Variable Pitch ◽  
Pitch Control ◽  
Mode Control ◽  
Nonlinear Controllers

The paper presents a nonlinear approach to wind turbine (WT) using two-mass model. The main aim of the controller in the WT is to maximize the energy output at varying wind speed. In this work, a combination of linear and nonlinear controllers is adapted to variable speed variable pitch wind turbines (VSVPWT) system. The major operating regions of the WT are below (region 2) and above rated (region 3) wind speed. In these regions, generator torque control (region 2) and pitch control (region 3) are used. The controllers in WT are tested for below and above rated wind speed for step and vertical wind speed profile. The performances of the controllers are analyzed with nonlinear FAST (Fatigue, Aerodynamics, Structures, and Turbulence) WT dynamic simulation. In this paper, two nonlinear controllers, that is, sliding mode control (SMC) and integral sliding mode control (ISMC), have been applied for region 2, whereas for pitch control in region 3 conventional PI control is used. In ISMC, the sliding manifold makes use of an integral action to show effective qualities of control in terms of the control level reduction and sliding mode switching control minimization.

scholarly journals Enhanced Performance of PMSG in WECS Using MPPT - Fuzzy Sliding Mode Control

2021 ◽  
Vol 54 (1) ◽  
pp. 85-96
Author(s):  
Mohammad Berel Toriki ◽  
Muhammad Khamim Asy’ari ◽  
Ali Musyafa’
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Electrical Energy ◽  
Maximum Power ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Turbine Performance ◽  
Fuzzy Sliding Mode ◽  
Generator Output

The wind turbine is a tool used to convert wind energy into electrical energy. This research applies the maximum power point tracking (MPPT) algorithm combined with the fuzzy sliding mode control (FSMC) to produce maximum power in the wind turbine. Addition of fuzzy logic algorithm to sliding mode control to reduce the chattering phenomenon caused by the high switching frequency of the MOSFET in the boost converter. The permanent magnet synchronous generator (PMSG) type of generator with a capacity of 600 watts is used to convert the mechanical energy of the turbine into electrical energy. Tracing the maximum power value of the generator with the MPPT-FSMC algorithm in this study based on the value of the generator output voltage, generator output current, and converter output voltage obtained through simulations on MATLAB / SIMULINK. Comparison of wind turbine performance using MPPT-FSMC and without MPPT is shown as validation of improved wind turbine performance when using intelligent control algorithm.

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