Analysis, Design, Implementation and Critical Appreciation of Fuzzy Logic Controller

2007 ◽  
pp. 199-275
Author(s):  
Kumar S. Ray
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Analysis Design

scholarly journals PROTOTYPE SISTEM KENDALI KADAR KEPEKATAN ASAP PADA SMOKING ROOM DENGAN METODE FUZZY LOGIC BERBASIS ARDUINO

2020 ◽  
Vol 3 (2) ◽  
pp. 32-37
Author(s):  
M. Sunan Ishfahani ◽  
Nur Hanifah Yuninda ◽  
Purwanto Gendroyono
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Research And Development ◽  
Fuzzy Logic Controller ◽  
Concentration Level ◽  
Requirements Analysis ◽  
Smoke Detection ◽  
Fuzzy Logic Method ◽  
Analysis Design ◽  
And Control

The purpose of this research is to make prototype of smoke concentration levels control system in smoking room by fuzzy logic method based on arduino. The prototype is able to detect and control the smoke to stay constantly in allowed threshold to the smoking room and provide periodic information about the concentration level in that smoking room automatically. This research uses Research and Development Method, which includes requirements analysis, design, basic implementation into prototype form. Requirements analysis is based on the lack of smoke detection and control systems in smoking rooms. The design of the control system in this study is applied to fuzzy logic controller. This research emphasizes more on the basic implementation of the desired prototype by standards testing such as output voltage testing and fuzzyfication testing that have not arrived at the stage of efficiency testing. The results show that the system will be put into danger condition if the concentration of smoke reaches 80 PPM. At that level, the voltage measured by the sensor is in the range of 3.19 to 3.41 VDC with an average voltage increase of 0.035 to 0.04 VDC per PPM. Error in fuzzyfication testing is 0.04% and 0.08% based on calculation. Abstrak Tujuan penelitian ini adalah membuat prototype sistem kendali kadar kepekatan asap pada smoking room dengan metode fuzzy logic berbasis arduino. Alat ini dapat mendeteksi dan mengendalikan asap agar tetap pada ambang batas yang diperbolehkan pada smoking room serta memberikan informasi secara periodik tentang kadar kepekatan asap yang terdapat pada smoking room secara otomatis. Penelitian ini menggunakan Metode Penelitian dan Pengembangan (Research and Development) yang meliputi analisis kebutuhan, perancangan, implementasi dasar dalam bentuk prototype dan pengujian. Analisis kebutuhan didasari karena jarang terdapatnya sistem deteksi dan kendali asap pada smoking room. Perancangan sistem kendali pada penelitian ini diterapkan fuzzy logic controller. Penelitian ini lebih menekankan pada implementasi dasar dari prototype yang diinginkan dengan pengujian standar seperti pengujian tegangan keluaran dan pengujian fuzzyfikasi yang belum sampai pada tahap pengujian efisiensi. Hasil penelitian menunjukkan bahwa sistem akan mengindikasikan sebuah bahaya jika kadar kepekatan asap mencapai 80 PPM. Pada kadar tersebut, tegangan yang terukur oleh sensor berada pada kisaran 3,19 sampai 3,41 VDC dengan rata-rata kenaikan tegangan sebesar 0,035 sampai 0,04 VDC per PPM. Error pada pengujian fuzzyfikasi adalah sebesar 0,04 % dan 0,08 % yang didasarkan pada perhitungan.

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.

STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Rise Time ◽  
Fuzzy Logic Controller ◽  
Buck Converter ◽  
Settling Time

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

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.

Sign in / Sign up

Export Citation Format

Share Document