Fuzzy logic controller: Application to liquid-level system

This paper presents liquid level control system model and analysis of dynamic characteristics. The system consists of scalar controlled induction motor drive, fuzzy logic controller, water tank and centrifugal pump. Simulink models of water tank, pump and controller are presented. The simulation of the system shows that the use of fuzzy logic controller reduces valve opening time and reservoir filling time. Nagrinėjamas skysčio lygio valdymo sistemos imitacinių modelių sudarymas, analizuojamos dinaminės charakteristikos. Valdymo sistema sudaryta iš skaliariniu būdu valdomos dažninės elektros pavaros su neraiškiosios logikos reguliatoriumi, vandens rezervuaro ir išcentrinio siurblio. Sudaryti rezervuaro, siurblio ir reguliatoriaus Simulink modeliai. Atlikus imitacijas gauta nedimensinė siurblio charakteristika, apibūdinanti siurblio veikimą, esant bet kokiam sukimosi greičiui. Nustatyta, kad sistemoje su neraiškiosios logikos reguliatoriumi vožtuvas yra atidaromas greičiau nei sistemoje su proporcinguoju integraliniu (PI) reguliatoriumi, ir todėl sumažinama rezervuaro pripildymo trukmė.

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Performances evaluation and comparison of PID controller and fuzzy logic controller for process liquid level control

2015 15th International Conference on Control, Automation and Systems (ICCAS) ◽

10.1109/iccas.2015.7364848 ◽

2015 ◽

Cited By ~ 6

Author(s):

Deepa Shivshant Bhandare ◽

N. R. Kulkarni

Keyword(s):

Fuzzy Logic ◽

Pid Controller ◽

Fuzzy Logic Controller ◽

Liquid Level ◽

Level Control ◽

Performances Evaluation ◽

Liquid Level Control

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Fuzzy Logic Theory-Based PI Controller Tuning for Improved Control of Liquid Level System

Intelligent Algorithms for Analysis and Control of Dynamical Systems - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-8045-1_14 ◽

2020 ◽

pp. 133-143

Author(s):

K. Sandeep Rao ◽

V. Bharath Kumar ◽

V. N. Siva Praneeth ◽

Y. V. Pavan Kumar

Keyword(s):

Fuzzy Logic ◽

Pi Controller ◽

Liquid Level ◽

Level System ◽

Controller Tuning ◽

Fuzzy Logic Theory

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Designing of Fuzzy Logic Controller for Liquid Level Controlling

International Journal of u- and e- Service Science and Technology ◽

10.14257/ijunesst.2015.8.6.26 ◽

2015 ◽

Vol 8 (6) ◽

pp. 267-276 ◽

Cited By ~ 6

Author(s):

Ashish Singh Thakur ◽

Himmat Singh ◽

Sulochana Wadhwani

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Liquid Level

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REALIZATION OF FUZZY LOGIC CONTROLLER FOR LIQUID LEVEL CONTROL SYSTEM BASED ON LabVIEW

Far East Journal of Electronics and Communications ◽

10.17654/ec016020203 ◽

2016 ◽

Vol 16 (2) ◽

pp. 203-217

Author(s):

Kritjay Rajput ◽

Vinod Kumar Giri

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Fuzzy Logic Controller ◽

Liquid Level ◽

Level Control ◽

Level Control System ◽

Liquid Level Control

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A type-2 fuzzy logic controller for the liquid-level process

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) ◽

10.1109/fuzzy.2004.1375536 ◽

2005 ◽

Cited By ~ 84

Author(s):

D. Wu ◽

W.W. Tan

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Liquid Level ◽

Level Process

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The Implementation of Embedded Fuzzy Logic Controller on Liquid Level Control System

Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020) ◽

10.2991/aer.k.201221.028 ◽

2020 ◽

Author(s):

Adnan Rafi Al Tahtawi ◽

Sofian Yahya ◽

Budi Setiadi ◽

Chairina Marsya

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Fuzzy Logic Controller ◽

Liquid Level ◽

Level Control ◽

Level Control System ◽

Liquid Level Control

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Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

ACMIT Proceedings ◽

10.33555/acmit.v3i1.43 ◽

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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A Self Learning Fuzzy Logic Controller for Ship Steering System

Iraqi Journal for Electrical And Electronic Engineering ◽

10.33762/eeej.2012.79716 ◽

2012 ◽

Vol 8 (1) ◽

pp. 25-34

Author(s):

Ammar A. Aldair

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Steering System ◽

Ship Steering ◽

Self Learning

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STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽

10.33795/eltek.v16i2.104 ◽

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.

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