Observer-Based Interval Type-2 Fuzzy Logic Control for Nonlinear Networked Control Systems with Delays

2020 ◽  
Vol 22 (2) ◽  
pp. 380-399 ◽  
Author(s):  
Abdul-Wahid A. Saif ◽  
Mohammad Mudasar ◽  
Muhammad Mysorewala ◽  
Moustafa Elshafei
2017 ◽  
Vol 354 (18) ◽  
pp. 7997-8014 ◽  
Author(s):  
Xun Sun ◽  
Huaguang Zhang ◽  
Jian Han ◽  
Yingchun Wang

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2289 ◽  
Author(s):  
Altan Gencer

Recently, wind energy conversion systems in renewable energy sources have attracted attention due to their effective application. Wind turbine systems have a complex structure; however, traditional control systems are inadequate in answering the demands of complex systems. Therefore, expert control systems are applied to wind turbines, such as type-1 and interval type-2 fuzzy logic control (IT-2 FLC) systems. An IT-2 FLC system is used to solve the complexity of the wind turbine system and increases the efficiency of the wind turbine. This paper proposes a new control approach using the IT-2 FLC method applied to a wind turbine based on a permanent magnet synchronous generator (PMSG) to improve the transient stability during grid faults. An IT-2 FLC was designed to enhance the fault ride-through performance of a wind turbine and was implemented to control the machine side converter and grid side converter of a wind turbine. The proposed algorithm performance of a wind turbine based on a PMSG was investigated for different types of grid fault. The analysis results verify that the interval type-2 fuzzy logic control system is robustly utilized under different operational conditions.


2010 ◽  
Vol 38 (6) ◽  
pp. 1485-1506
Author(s):  
Mohammad El-Bardini ◽  
Ahmad M. El-Nagar ◽  
Nabila M. El-Rabaie

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