Fuzzy logic controller and real-time implementation of a ball balancing beam

1995 ◽  
Author(s):  
Kim C. Ng ◽  
Mohan M. Trivedi
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller

Implementation of Real-Time Concentration Process Control System Design Based on PID and Fuzzy Logic Controller

2015 ◽  
Vol 772 ◽  
pp. 147-153
Author(s):  
Mohamed Amir Gabir Elbakri
Keyword(s):  
Fuzzy Logic ◽  
Process Control ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Control Loop ◽  
Time System ◽  
Real Time System ◽  
Concentration Process ◽  
Labview Software ◽  
Model Control

Concentration process is commonly process in industries for chemicals and products that want to reach desired amount of matter in product, so concentration process control is important to reach the desired concentrate of product.Concentration in streams are affected by physical variables around it like pressure, temperature and amount of matter that solvent in streams, so the amplitude of concentration is randomly change with time that make control process not easy.In this project controller was designed for concentration process and was implemented in real-time system that constructed to verify the response of controller, in prototype concentrated solutions-juice and sugar-used to control in it separately with water then mixed to produce juice with desired property.The Mathematical model of concentrated process was evolved and Matlab used to analyze and design control loop for these model, control algorithms used as PID & Fuzzy logic controller to build controller that achieve the specification requirements of a system process.The Fuzzy PI-controller designed to control that for characteristic of nonlinearity of real-time system, and implement simulation of control loops in LABVIEW software with appropriate interface.The DAQ hardware with LABVIEW software are used to implement the control loop that designed for real-time prototype to produce the juice with desired concentrated.

Design of real-time reconfigurable fuzzy logic controller with M-FRHC rule reduction technique

2016 ◽  
Vol 30 (4) ◽  
pp. 1973-1986 ◽  
Author(s):  
Pallab Maji ◽  
Sarat Kumar Patra ◽  
Kamalakanta Mahapatra
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Reduction Technique
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