scholarly journals Fuzzy Logic Force-Torque Feedback Controller For Multi-Drone Cooperative Transport With Offset CG

2021 ◽  
Vol 54 (20) ◽  
pp. 605-610
Author(s):  
Shraddha Barawkar ◽  
Manish Kumar
Keyword(s):  
Fuzzy Logic ◽  
Feedback Controller ◽  
Cooperative Transport

scholarly journals A Philosophical Treatise and Educational Aspects on Fuzzy Control

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Control Systems ◽  
Human Activity ◽  
Input Data ◽  
Feedback Controller ◽  
Central Heating ◽  
Almost All ◽  
Heating Boiler

Fuzzy Logic has found nowadays many applications to almost all sectors of human activity, withfuzzy control being one of the most important such applications. A control system regulates the behavior of adevice or another system with the help of a feedback controller. A fuzzy control system is a control system thatanalyses the input data in terms of variables which take continuous values in the interval [0, 1]. The presentarticle studies in detail the operation of fuzzy control systems and illustrates it by presenting an exampleof controlling a building’s central heating boiler.

Active Control of Thermally Induced Vibrations in Smart Structure Instrumented with Piezoelectric Materials

2014 ◽  
Vol 612 ◽  
pp. 169-174 ◽  
Author(s):  
Anshul Sharma ◽  
C.K. Susheel ◽  
Rajeev Kumar ◽  
V.S. Chauhan
Keyword(s):  
Finite Element ◽  
Fuzzy Logic ◽  
Negative Feedback ◽  
Fuzzy Logic Controller ◽  
Coupling Effect ◽  
Shear Deformation Theory ◽  
Smart Structure ◽  
Feedback Controller ◽  
Mechanical Coupling ◽  
Degenerated Shell Element

In this paper, a finite element model of piezolaminated composite shell structure is developed using nine-noded degenerated shell element. The stiffness, mass and thermo-electro-mechanical coupling effect is incorporated in finite element modeling using first order shear deformation theory and linear piezoelectric theory. The sensor voltage is calculated using the same formulation and fuzzy logic controller is used to calculate the actuator voltage. The fuzzy logic controller is designed as double input-single output (DISO) system using 49 If-Then rules. The performance of fuzzy logic controller is compared with convention constant-gain negative feedback controller. The simulation results illustrate the superiority of fuzzy logic controller over constant-gain negative feedback controller.

scholarly journals Design and validation of a novel fuzzy-logic-based static feedback controller for tendon-driven continuum robots

2021 ◽  
pp. 1-1
Author(s):  
Weiming Ba ◽  
Xin Dong ◽  
Abdelkhalick Mohammad ◽  
Mingfeng Wang ◽  
Dragos Axinte ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Feedback Controller ◽  
Continuum Robots ◽  
Static Feedback

scholarly journals Design a Fuzzy Logic Controller for a Rotary Flexible Joint Robotic Arm

2018 ◽  
Vol 150 ◽  
pp. 01011 ◽  
Author(s):  
Jamaludin Jalani ◽  
Suman Jayaraman
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Feedback Controller ◽  
Robotic Arm ◽  
Flexible Joint ◽  
Simulation And Experiment

The purpose of this research is to design a fuzzy logic feedback controller (FLC) in order to control a desired tip angle position a rotary flexible joint robotic arm. The FLC is also employed to dampen the vibration emanated from a rotary flexible joint robotic arm when reaching a desired tip angle position. The performance of FLC is tested in simulation and experiment. It is found that the FLC is successfully designed, applied and tested. The results show that fuzzy logic controller performed satisfactorily control a desired tip angle position and reduce the oscillations.

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic
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