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


Texto Academico, 2020

6 Páginas


Resumen o Introducción

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.

Detalles

Título
Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method
Autor
Año
2020
Páginas
6
No. de catálogo
V542030
ISBN (Ebook)
9783346164155
Idioma
Inglés
Palabras clave
comparison, predictive, performance, motor, model, method, logic, fuzzy, control, speed
Citar trabajo
Mustefa Jibril (Autor), 2020, Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method, Múnich, GRIN Verlag, https://www.grin.com/document/542030

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