A general purpose fuzzy logic code

2003 ◽  
Author(s):  
N.K. Alang-Rashid ◽  
A.S. Heger
Keyword(s):  
Fuzzy Logic ◽  
General Purpose

scholarly journals Disturbance Compensation in Fuzzy Logic Control of Level in Carbonisation Column for Soda Production

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
High Performance ◽  
Fuzzy Logic Controller ◽  
General Purpose ◽  
Rule Base ◽  
Disturbance Compensation ◽  
Real Time Control ◽  
System Error ◽  
Model Free ◽  
Time Control

The intelligent approaches emerge as leading techniques in providing of stable and high performance control of industrial plants with nonlinearity, model uncertainty, variables coupling and disturbances. In the present research a novel approach for the design of a nonlinear model-free fuzzy logic controller (FLC) with two inputs – the system error and the main measurable disturbance and a rule base for disturbance compensation is suggested. It is based on off-line parameter optimisation via genetic algorithms. The approach is applied for the development of a FLC for the control of the level of ammonia brine solution in a carbonisation column with compensation of the changes in the inflow pressure. The control algorithm is implemented in a general purpose industrial programmable logic controller in ”Solvay Sodi” SA – Devnya, Bulgaria. The FLC system with disturbance compensation outperforms in an increased dynamic accuracy the FLC with the system error as a single input even when linear feedforward disturbance compensation is added. The performance of all systems is assessed from the real time control and the simulations based on a derived TSK plant model.

A 12b general-purpose fuzzy logic controller chip

1996 ◽  
Vol 4 (4) ◽  
pp. 460-475 ◽  
Author(s):  
H. Eichfeld ◽  
T. Kunemund ◽  
M. Menke
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
General Purpose

scholarly journals Direct Torque Control of Doubly Star Induction Motor Using Fuzzy Logic Speed Controller

2018 ◽  
Vol 7 (1) ◽  
pp. 42
Author(s):  
Lallouani Hellali ◽  
Saad Belhamdi
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Direct Torque Control ◽  
Pi Controller ◽  
General Purpose ◽  
Torque Control ◽  
Speed Controller ◽  
Wide Range ◽  
Time Required

<p>This paper presents the simulation of the control of doubly star induction<br />motor using Direct Torque Control (DTC) based on Proportional and Integral<br />controller (PI) and Fuzzy Logic Controller (FLC). In addition, the work<br />describes a model of doubly star induction motor in α-β reference frame<br />theory and its computer simulation in MATLAB/SIMULINK®.The structure<br />of the DTC has several advantages such as the short sampling time required<br />by the TC schemes makes them suited to a very fast flux and torque<br />controlled drives as well as the simplicity of the control algorithm.the<br />general- purpose induction drives in very wide range using DTC because it is<br />the excellent solution. The performances of the DTC with a PI controller and<br />FLC are tested under differents speeds command values and load torque.</p>

Significance of Fuzzy Logic

2017 ◽  
Author(s):  
Radim Bělohlávek ◽  
Joseph W. Dauben ◽  
George J. Klir
Keyword(s):  
Fuzzy Logic ◽  
Paradigm Shift ◽  
General Purpose ◽  
Future Prospects

The aim of this chapter is to assess the significance of fuzzy logic based on its developments and its impact on mathematics and other areas of human affairs over its fifty-year history. For this purpose, the well-established concepts of a paradigm and a paradigm shift in science as well as their counterparts in mathematics and other areas of human affairs are employed as useful metaphors. Authors’ views regarding future prospects of fuzzy logic are also discussed. The prospects for a wider awareness of fuzzy logic depend on the development of specialist forums for discussion of its application, as well as on the availability of general-purpose textbooks. Fuzzy logic offers contributions to thinking about a large number of disciplines, and their acceptance will depend on how well the claims made for it materialize.

scholarly journals An Incorporated Use of Fuzzy Logic Toolbox and Modelica Library to Design SSSC Damping Controller

1970 ◽  
Vol 2 (1) ◽  
pp. 25-32
Author(s):  
Boonrat Somritvanitcha ◽  
Issarachai Ngamroo ◽  
Komsan Hongesombut
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
General Purpose ◽  
System Stability ◽  
Design Environment ◽  
Matlab Simulink ◽  
New Device ◽  
Damping Controller

ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This paper describes an incorporated use of fuzzy logic toolbox in Matlab/Simulink and Object-Stab library to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. Simulation studies in a multi-machine power system confirm the effectiveness of the designed fuzzy controller.

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