From Type-1 to Type-2 Fuzzy Logic Control: A Stability and Robustness Study

2007 ◽  
pp. 135-149 ◽  
Author(s):  
Nohé Cázarez ◽  
Oscar Castillo ◽  
Luís Aguilar ◽  
Selene Cárdenas
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Logic Control

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.

Type-2 fuzzy logic control for underactuated truss-like robotic finger with comparison of a type-1 case1

2017 ◽  
Vol 33 (4) ◽  
pp. 2047-2057 ◽  
Author(s):  
Shuchen Ding ◽  
Xianlin Huang ◽  
Xiaojun Ban ◽  
Hongqian Lu ◽  
Hongyang Zhang
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Logic Control

scholarly journals Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic

2020 ◽  
pp. 146134842097948
Author(s):  
Nurul Fadzlina Jamin ◽  
Nor Maniha Abdul Ghani ◽  
Zuwairie Ibrahim ◽  
Ahmad Nor Kasruddin Nasir ◽  
Mamunur Rashid ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Dynamic Algorithm ◽  
Logic Control ◽  
Stabilizing Control ◽  
Control Schemes ◽  
Interval Type

The control schemes of a wheelchair having two wheels with movable payload utilizing the concept of a double-link inverted pendulum have been investigated in this article. The proposed wheelchair has been simulated using SimWise 4D software considering the most efficient parameters. These parameters are extracted using the spiral dynamic algorithm while being controlled with interval type-2 fuzzy logic controller (IT2FLC). The robustness and stability of the implemented controller are assessed under different situations including standing upright, forward motion and application of varying directions and magnitudes of outer disturbances to movable (up and down) system payload. It is shown that the two-wheeled wheelchair adopted by the newly introduced controller has achieved a 94% drop in torque for both Link1 and Link2 and more than 98% fall in distance travelled in comparison with fuzzy logic control type-1 (FLCT1) controller employed in an earlier design. The present study has further considered the increased nonlinearity and complexity of the additional moving payload. From the outcome of this study, it is obvious that the proposed IT2FLC-spiral dynamic algorithm demonstrates better performance than FLCT1 to manage the uncertainties and nonlinearities in case of a movable payload two-wheel wheelchair system.

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

Type-2 fuzzy logic control of a photovoltaic sourced two stages converter

2018 ◽  
Vol 35 (1) ◽  
pp. 1103-1117 ◽  
Author(s):  
Omer Faruk Bay ◽  
Meral Ozarslan Yatak
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Two Stages
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