Stabilization algorithm for interval type-2 TSK fuzzy logic control systems with bounded time-varying delay

2015 ◽  
Author(s):  
Sun Xun ◽  
Zhang Huaguang ◽  
Wang Yingchun
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Fuzzy Logic Control ◽  
Time Varying ◽  
Time Varying Delay ◽  
Logic Control ◽  
Interval Type ◽  
Varying Delay

Non-fragile control for interval type-2 TSK fuzzy logic control systems with time-delay

2017 ◽  
Vol 354 (18) ◽  
pp. 7997-8014 ◽  
Author(s):  
Xun Sun ◽  
Huaguang Zhang ◽  
Jian Han ◽  
Yingchun Wang
Keyword(s):  
Fuzzy Logic ◽  
Time Delay ◽  
Control Systems ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Interval Type

scholarly journals Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2289 ◽  
Author(s):  
Altan Gencer
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Control Systems ◽  
Fuzzy Logic Control ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Logic Control ◽  
Fault Ride Through ◽  
Interval Type

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.

scholarly journals INTERVAL TYPE-2 FUZZY LOGIC CONTROL FOR THE MULTIVARIABLE ANAESTHESIA SYSTEM

2010 ◽  
Vol 38 (6) ◽  
pp. 1485-1506
Author(s):  
Mohammad El-Bardini ◽  
Ahmad M. El-Nagar ◽  
Nabila M. El-Rabaie
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Interval Type

Interval Type-2 Fuzzy Logic Control of NM70 Shape Memory Actuator

2014 ◽  
Author(s):  
Ireneusz Dominik
Keyword(s):  
Fuzzy Logic ◽  
Shape Memory ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Logic Control ◽  
Interval Type ◽  
Nonlinear Plant

The main aim of this article is to present the usage of type-2 fuzzy logic controller to control a shape memory actuator. To enhance real-time performance simplified interval fuzzy sets were used. The algorithm was implemented in the ATmega32 microcontroller. The dedicated PC application was also built. The fuzzy logic controller type-2 was tested experimentally by controlling position of the shape memory alloy actuator NM70 which despite its small size distinguishes itself by its strength. The obtained results confirmed that type-2 fuzzy controller performed efficiently with a difficult to control nonlinear plant. The research also proved that interval type-2 controllers, which are a simplified version of the general type-2 controllers, are very efficient. They can handle uncertainties without increasing drastically the computational complexity. Experimental data comparison of the fuzzy logic controller type-2 with type-1 clearly indicates the superiority of the former, especially in reducing overshooting.

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