A fuzzy-logic control algorithm for active Queue Management in IP networks

2008 ◽  
Vol 25 (1) ◽  
pp. 102-107 ◽  
Author(s):  
Weiyan Liu ◽  
Shunyi Zhang ◽  
Mu Zhang ◽  
Tao Liu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Active Queue Management ◽  
Ip Networks ◽  
Queue Management ◽  
Logic Control

Permanent Magnet Chatter Absorber with Fuzzy Logic Control

2009 ◽  
Vol 147-149 ◽  
pp. 290-295 ◽  
Author(s):  
Bogdan Broel-Plater ◽  
Stefan Domek ◽  
Arkadiusz Parus
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Permanent Magnets ◽  
Practical Experience ◽  
High Energy ◽  
Logic Control ◽  
Machine Operators

The paper deals with semi-active chatter absorber based on an electrodynamic transducer built around high-energy permanent magnets. Also, a fuzzy logic control system for the absorber control system has been designed. The principal advantage of fuzzy control is the possibility to implement practical experience gained by machine operators in the control algorithm. Hence, the possibility of factoring such quantities, as vibrations experienced by selected points of the machine-tool, and sound emitted by working machine into the analyzed chatter absorber fuzzy control system has been studied in the paper. The control system has been tested by way of simulation with the use of the process and cutting force models.

scholarly journals Control of a dc motor using fuzzy logic control algorithm

2017 ◽  
Vol 36 (2) ◽  
pp. 594 ◽  
Author(s):  
I. H. Usoro ◽  
U. T. Itaketo ◽  
M. A. Umoren
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Dc Motor ◽  
Logic Control

Stabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm

2014 ◽  
Vol 43 (5) ◽  
pp. 413-433 ◽  
Author(s):  
Radu-Emil Precup ◽  
Marius-Lucian Tomescu ◽  
Claudia-Adina Dragos
Keyword(s):  
Dynamical System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Chaotic Dynamical System ◽  
Logic Control

Oil Whip Elimination Using Fuzzy Logic Controller

2015 ◽  
Vol 138 (6) ◽  
Author(s):  
A. S. Dimitri ◽  
J. Mahfoud ◽  
A. El-Shafei
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Control Action ◽  
Test Rig ◽  
Logic Control ◽  
Oil Whip ◽  
Simple Geometry ◽  
Wide Range

Oil whip is a self-excited subsynchronous vibration which limits the range of operating speed of journal bearings (JBs). JBs have wide range of applications due to their high loading capacity, simple geometry, and lubrication. When the speed of rotation increases, the oil whip instability is excited with a frequency corresponding to the rotor critical speed which causes excessive undesirable vibration. A solution for this instability is implemented through this paper. The control action is implemented through a new integrated bearing device. The bearing consists of JB and electromagnetic actuator (EMA). The oil whip control action is applied through the EMA. A fuzzy logic control algorithm is developed and experimentally applied to a rotor test rig. The controller is suitable to deal with the problems of uncertainties and nonlinearity. The experimental results show the ability of the developed controller to eliminate the oil whip instability when applied to a test rig which simulates industrial rotor through an integrated bearing prototype which was designed and manufactured.

Fuzzy Simplex-Type Sliding-Mode Control

2013 ◽  
Vol 284-287 ◽  
pp. 2244-2248
Author(s):  
Ta Tau Chen ◽  
Sung Chun Kuo
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Simplex Method ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Mode Control ◽  
Logic Control ◽  
Chattering Phenomenon ◽  
System States

In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. Here, the fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to improve the system states response and to reduce system states chattering phenomenon of the controlled system for simplex control method. Hence, from this motivation yields the so-called fuzzy simplex sliding mode control (FSSMC) scheme. the fuzzy logic control algorithm and simplex sliding mode control algorithm is integrated to improve the system states response and chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop the fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed controllers, the simulation results demonstrate that the fuzzy simplex type sliding mode control scheme is a good solution to the chattering problem in the simplex sliding mode control.

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