Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox

2020 ◽  
Vol 23 (4) ◽  
pp. 843-849
Author(s):  
Shubham Sharma ◽  
Ahmed J. Obaid
Keyword(s):  
Fuzzy Logic ◽  
Mathematical Modelling ◽  
Fuzzy Logic Controller ◽  
Analysis And Design ◽  
Control Of Ventilation ◽  
Modelling Analysis ◽  
Ventilation Systems

Digital Image Processing for Detecting and Classifying Plant Diseases

2017 ◽  
Vol 2 (11) ◽  
pp. 1-7
Author(s):  
Izay A. ◽  
Onyejegbu L. N.
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Programming Language ◽  
Design Methodology ◽  
Fuzzy Logic Controller ◽  
Object Oriented ◽  
Plant Diseases ◽  
Analysis And Design ◽  
Crop Diseases ◽  
Growing Population

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

Neural Networks and Fuzzy Logic in Electrical Engineering Control Courses

2003 ◽  
Vol 40 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Francisco Jurado ◽  
Antonio Caño ◽  
Manuel Ortega
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Intelligent Systems ◽  
Fuzzy Logic Controllers ◽  
Analysis And Design ◽  
Modelling Analysis ◽  
Systems And Control ◽  
And Control ◽  
Theoretical Developments ◽  
Logic Controllers

Control system education must include experimental exercises that complement the theory presented in lectures. These exercises include modelling, analysis and design of a control system. Key concepts and techniques in the area of intelligent systems and control have been discovered and developed over the past few decades. While some of these methods have significant benefits to offer, engineers are often reluctant to utilise new intelligent control techniques, for several reasons. In this paper fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers. Student feedback indicates that theoretical developments in lectures on control systems were only appreciated after the laboratory exercises.

scholarly journals Modelling and Controller Design for Non- Linear Two Tank Interacting System

2020 ◽  
Vol 9 (6) ◽  
pp. 82-85
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Mathematical Modelling ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Linear Process ◽  
Matlab Simulink ◽  
Non Linear ◽  
And Control

This paper explains the mathematical modelling and controller design of Two Tank Interacting System (TTIS) for a non-linear process. To design the non-linear process using Matlab Simulink and control the process using conventional PID controller and Fuzzy Logic Controller (FLC). A comparative study was conducted extensively made to examine which controller suits well for the non-linear process through the response observed.

Analysis and design of CMOS fuzzy logic controller in current mode

1994 ◽  
Vol 29 (3) ◽  
pp. 317-322 ◽  
Author(s):  
L. Lemaitre ◽  
M.J. Patyra ◽  
D. Mlynek
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Current Mode ◽  
Analysis And Design

scholarly journals Modeling, Analysis, and Design of a Fuzzy Logic Controller for an AHU in the S.J. Carew Building at Memorial University

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Almahdi Abdo-Allah ◽  
Tariq Iqbal ◽  
Kevin Pope
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Hot Water ◽  
The Novel ◽  
Flow Rates ◽  
New Approach ◽  
Analysis And Design ◽  
Comfort Levels ◽  
Modeling Analysis ◽  
Air Handling Units

Proper functioning of heating, ventilation, and air conditioning (HVAC) systems is important for efficient thermal management, as well as operational costs. Most of these systems use nonlinear time variances to handle disturbances, along with controllers that try to balance rise times and stability. The latest generation of fuzzy logic controllers (FLC) is algorithm-based and is used to control indoor temperatures, CO2 concentrations in air handling units (AHUs), and fan speeds. These types of controllers work through the manipulation of dampers, fans, and valves to adjust flow rates of water and air. In this paper, modulating equal percentage globe valves, fans speed, and dampers position have been modeled according to exact flow rates of hot water and air into the building, and a new approach to adapting FLC through the modification of fuzzy rules surface is presented. The novel system is a redesign of an FLC using MATLAB/Simulink, with the results showing an enhancement in thermal comfort levels.

Fuzzy Takagi-Sugeno Method in Microcontroller Based Water Tank System

2018 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Nur Maisarah Mohd Sobran ◽  
Munirah Mohd Salmi ◽  
Mohd Bazli Bahar ◽  
Md Nazri Othman ◽  
Siti Halma Johari
Keyword(s):  
Fuzzy Logic ◽  
Mathematical Modelling ◽  
Real Time ◽  
System Performance ◽  
Fuzzy Logic Controller ◽  
Experimental Setup ◽  
Water Tank ◽  
Tank System ◽  
Initial Idea ◽  
Takagi Sugeno

This paper present the performance of Fuzzy logic controller in maintain level of water in water tank system. The mathematical modelling was developed to get the initial idea of the system performance. Later, the prototype of water tank system were constructed and tested to get the real time results. The Takagi-Sugeno “on” and “off” interference technique method was implemented due to the control limitation of the pump motor that being used in the experimental setup. The fuzzy logic controller was realized by embedded the algorithm in microcontroller of the water tank system. The experimental results show acceptable level of water within the range of 18cm to 20.5cm and settling time 59 seconds with 20 cm set point.

Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Automation System ◽  
Paper Making ◽  
System A ◽  
Accurate Position ◽  
And Performance ◽  
Better Than ◽  
Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

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