Parameters estimation and calibration of bldc motor for electric powered wheelchair

In other to analyse the numerical analysis, parameters are very important in the mathematical modelling work. This process will determine the correspondence output between mathematical modelling and real system. In this paper, estimation and calibration method of brushless DC (BLDC) motor parameters...

Full description

Bibliographic Details
Main Authors: S. M., Asyraf, Mohamad Heerwan, Peeie, I. M., Izhar, I. M., Zulhilmi, J. M., Zikri, S. C., Hern
Format: Conference or Workshop Item
Language:English
English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21962/
http://umpir.ump.edu.my/id/eprint/21962/1/5.%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf
http://umpir.ump.edu.my/id/eprint/21962/2/5.1%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf
id ump-21962
recordtype eprints
spelling ump-219622018-09-20T07:38:57Z http://umpir.ump.edu.my/id/eprint/21962/ Parameters estimation and calibration of bldc motor for electric powered wheelchair S. M., Asyraf Mohamad Heerwan, Peeie I. M., Izhar I. M., Zulhilmi J. M., Zikri S. C., Hern TJ Mechanical engineering and machinery In other to analyse the numerical analysis, parameters are very important in the mathematical modelling work. This process will determine the correspondence output between mathematical modelling and real system. In this paper, estimation and calibration method of brushless DC (BLDC) motor parameters that used in Electric Powered Wheelchair (EPW) through experimental and simulation comparison are proposed. The setup of experiment consist of in-wheel BLDC motor with a driver, 36 volt battery, Arduino microcontroller, speed sensor and current measurement tool. Firstly, the initial parameters of motor are estimated by using related equation and fitting curve method. Then, initial estimated parameters are simulated in EPW modelling. Finally, parameters of the BLDC motor is calibrated according to the output speed of modelling and real DC motor using MATLAB-Parameter Estimation tool. Result shows the similarity between the modelling and real EPW output speed is 97.8% similar after calibration. In conclusion, the calibrated parameters are verified to use in modelling and for the further work in control designing of the EPW 2018-03 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21962/1/5.%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf pdf en http://umpir.ump.edu.my/id/eprint/21962/2/5.1%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf S. M., Asyraf and Mohamad Heerwan, Peeie and I. M., Izhar and I. M., Zulhilmi and J. M., Zikri and S. C., Hern (2018) Parameters estimation and calibration of bldc motor for electric powered wheelchair. In: International conference on science, engineering and technology (I-SET 2018), 2 - 3 May 2018 , Convention Centre, University of Muhammadiyah (UNMUHA) Banda Aceh, Indonesia. pp. 1-7.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
S. M., Asyraf
Mohamad Heerwan, Peeie
I. M., Izhar
I. M., Zulhilmi
J. M., Zikri
S. C., Hern
Parameters estimation and calibration of bldc motor for electric powered wheelchair
description In other to analyse the numerical analysis, parameters are very important in the mathematical modelling work. This process will determine the correspondence output between mathematical modelling and real system. In this paper, estimation and calibration method of brushless DC (BLDC) motor parameters that used in Electric Powered Wheelchair (EPW) through experimental and simulation comparison are proposed. The setup of experiment consist of in-wheel BLDC motor with a driver, 36 volt battery, Arduino microcontroller, speed sensor and current measurement tool. Firstly, the initial parameters of motor are estimated by using related equation and fitting curve method. Then, initial estimated parameters are simulated in EPW modelling. Finally, parameters of the BLDC motor is calibrated according to the output speed of modelling and real DC motor using MATLAB-Parameter Estimation tool. Result shows the similarity between the modelling and real EPW output speed is 97.8% similar after calibration. In conclusion, the calibrated parameters are verified to use in modelling and for the further work in control designing of the EPW
format Conference or Workshop Item
author S. M., Asyraf
Mohamad Heerwan, Peeie
I. M., Izhar
I. M., Zulhilmi
J. M., Zikri
S. C., Hern
author_facet S. M., Asyraf
Mohamad Heerwan, Peeie
I. M., Izhar
I. M., Zulhilmi
J. M., Zikri
S. C., Hern
author_sort S. M., Asyraf
title Parameters estimation and calibration of bldc motor for electric powered wheelchair
title_short Parameters estimation and calibration of bldc motor for electric powered wheelchair
title_full Parameters estimation and calibration of bldc motor for electric powered wheelchair
title_fullStr Parameters estimation and calibration of bldc motor for electric powered wheelchair
title_full_unstemmed Parameters estimation and calibration of bldc motor for electric powered wheelchair
title_sort parameters estimation and calibration of bldc motor for electric powered wheelchair
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21962/
http://umpir.ump.edu.my/id/eprint/21962/1/5.%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf
http://umpir.ump.edu.my/id/eprint/21962/2/5.1%20Parameters%20estimation%20and%20calibration%20of%20bldc%20motor%20for%20electric%20powered%20wheelchair.pdf
first_indexed 2023-09-18T22:32:27Z
last_indexed 2023-09-18T22:32:27Z
_version_ 1777416376330223616