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


Academic Paper, 2020

6 Pages


Abstract or 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.

Details

Title
Comparison of DC Motor Speed Control Performance using Fuzzy Logic and Model Predictive Control Method
Author
Year
2020
Pages
6
Catalog Number
V542030
ISBN (eBook)
9783346164155
Language
English
Keywords
comparison, predictive, performance, motor, model, method, logic, fuzzy, control, speed
Quote paper
Mustefa Jibril (Author), 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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