A nonlinear voltage controller based on interval type 2 fuzzy logic control system for multimachine power systems

2013 ◽  
Vol 45 (1) ◽  
pp. 456-467 ◽  
Author(s):  
A. Abbadi ◽  
L. Nezli ◽  
D. Boukhetala
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Power Systems ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Voltage Controller ◽  
Interval Type

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.

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
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