Cover Image

Parameter estimation of damped compound Pendulum using differential evolution algorithm

Access is limited to UniMAP community.

Saved in:
Bibliographic Details
Main Author: Mohamad Hisyam, Abdul Halim
Other Authors: Mohd Sazli Saad, Dr.
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
Subjects:
Pendulum
Damped compound pendulum
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69806
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-69806
record_format dspace
spelling my.unimap-698062021-02-23T07:35:15Z Parameter estimation of damped compound Pendulum using differential evolution algorithm Mohamad Hisyam, Abdul Halim Mohd Sazli Saad, Dr. Pendulum Damped compound pendulum Access is limited to UniMAP community. In this study, the parameter identification of damped compound pendulum prototype is proposed. Control theory has many techniques to solve this problem: the least squares (LS) method and the autoregressive exogenous (ARX) method. Recently, other techniques based on computational intelligence (evolutionary programming) have been used. Evolutionary computation, which would be a very promising approach, an alternative to this method because it does not require any derivative information, contrary to the ordinary gradient-based methods.The procedure used to achieve the parameter identification of the experimental system consisted of input output data collection, ARX model order selection and parameter estimation using conventional method least square and differential evolution algorithm. PRBS signal is used to be input signal to regulate the motor speed. Whereas, the output signal is taken from position sensor. Both, input and output data is used to estimate the parameter of the ARX model. The performance of the models were validates using statistical analysis based on the mean squares error (MSE) between the actual and predicted output responses of the models. The comparison results between these parameter optimization techniques were highlighted. MSE value for LS is 0.0026 and MSE value for DE is 3.6601x10-5. .Based results obtained, it was found that DE have lower MSE than the LS method. 2021-02-23T07:35:15Z 2021-02-23T07:35:15Z 2016-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69806 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Pendulum
Damped compound pendulum
spellingShingle Pendulum
Damped compound pendulum
Mohamad Hisyam, Abdul Halim
Parameter estimation of damped compound Pendulum using differential evolution algorithm
description Access is limited to UniMAP community.
author2 Mohd Sazli Saad, Dr.
author_facet Mohd Sazli Saad, Dr.
Mohamad Hisyam, Abdul Halim
format Learning Object
author Mohamad Hisyam, Abdul Halim
author_sort Mohamad Hisyam, Abdul Halim
title Parameter estimation of damped compound Pendulum using differential evolution algorithm
title_short Parameter estimation of damped compound Pendulum using differential evolution algorithm
title_full Parameter estimation of damped compound Pendulum using differential evolution algorithm
title_fullStr Parameter estimation of damped compound Pendulum using differential evolution algorithm
title_full_unstemmed Parameter estimation of damped compound Pendulum using differential evolution algorithm
title_sort parameter estimation of damped compound pendulum using differential evolution algorithm
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69806
_version_ 1698698270739529728
score 13.15806

Similar Items