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Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method


Texte Universitaire, 2020

6 Pages


Résumé ou Introduction

The main target of this paper is to control the speed of DC motor by comparing the actual and the desired speed set point. The DC motor is designed using Fuzzy logic and MPC controllers. The comparison is made between the proposed controllers for the control target speed of the DC motor using square and white noise desired input signals with the help of Matlab/Simulink software. It has been realized that the design based on the fuzzy logic controller track the set pointwith the best steady state and transient system behavior than the design with MPC controller. Finally, the comparative simulation result prove the effectiveness of the DC motor with fuzzy logic controller.

Résumé des informations

Titre
Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method
Auteur
Année
2020
Pages
6
N° de catalogue
V542030
ISBN (ebook)
9783346164155
Langue
anglais
Mots clés
comparison, predictive, performance, motor, model, method, logic, fuzzy, control, speed
Citation du texte
Mustefa Jibril (Auteur), 2020, Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method, Munich, GRIN Verlag, https://www.grin.com/document/542030

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