Auto-Tuning Method for Designing Matlab DC Motor Speed Control With PID (Proportional Integral Derivative)

ADRI International Journal of Sciences, Engineering and Technology

View Publication Info
 
 
Field Value
 
Title Auto-Tuning Method for Designing Matlab DC Motor Speed Control With PID (Proportional Integral Derivative)
 
Creator Mochlasin, Mochlasin
Ali, Machrus
 
Subject Motor DC; PID; PID Auto-Tuning
 
Description The character of DC motor is nonlinear and for the permanent magnet is linear. Nonlinear characteristics of DC motors such as friction and saturation can degrade the performance of conventional controls. So if the automatic control will be difficult to implement because of the lack of nonlinear DC motor. The lack of a nonlinear dynamic model of a DC motor has limitations on the design of the circuit closed-loop feedback controllers. Saturation and friction can degrade performance and Conventional control standards. PID controllers are often used for motor control applications due to its structure and a simple control algorithm that is easy to understand. Controller parameter generally uses Try and Error. This method has a successful outcome but long enough and to obtain a satisfactory response system.This paper model of DC motor speed control is designed using multiple control, such as PID controller, PID Ziegler-Nichols, and Auto-tuning PID controls Matlab. The results of model performance DC motor speed control using Matlab Auto-tuning was found to have the smallest error steady state, settling time and overshoot better than PID Controller and PID-ZN (Ziegler Nichols PID). From the results of running the program get Auto-tuning Matlab in this study is the best controller with the fastest settling time is 0.2656 seconds and the smallest overshot is 1,0591pu.
 
Publisher ADRI International Journal of Sciences, Engineering and Technology
 
Contributor
 
Date 2018-08-22
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejournal.p-adri.org/index.php/ijset/article/view/83
 
Source ADRI International Journal of Sciences, Engineering and Technology; Vol 1, No 1 (2017): May 2017; 5-8
2549-5518
2549-550X
 
Language eng
 
Relation http://ejournal.p-adri.org/index.php/ijset/article/view/83/82
 
Rights Copyright (c) 2017 ADRI International Journal of Sciences, Engineering and Technology
https://creativecommons.org/licenses/by-nd/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library