Measurement, Modeling, and Optimization Speed Control of BLDC Motor Using Fuzzy-PSO Based Algorithm

Authors

DOI:

https://doi.org/10.18196/jet.v5i1.12113

Keywords:

BLDC Motor, PID Controller, System Identification, Fuzzy Logic, PSO Algorithm

Abstract

Measurement, modeling, and optimization are three important components that must be done to get a better system on the BLDC motor speed control system. The problem that arises in the BLDC motor speed control system is the instability indicated by a high overshoot value, a slow rise time value, and a high error steady-state. The purpose of this study is to increase the stability indicator by eliminating the high value of overshoot and error steady-state and increasing the value of the rise time. The method used in this research is to measure the input and output physical parameters, to model the BLDC motor plant mathematically and the last is to perform optimization using several control methods such as Proportional Integral Derivative (PID) control, fuzzy logic intelligent control, and Particle Swarm Optimization algorithm. (PSO). Experimental and simulation results show that the PSO algorithm has a better value in increasing stability indicators when compared to the other two control methods with a rise time of 0.00121 seconds, settling time of 0.00241 seconds, and overshoot of 0%.

Author Biographies

Izza Anshory, Universitas Muhammadiyah Sidoarjo

a lecturer at the Department of Electrical Engineering, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo. He received the Ph.D, and M. Eng degree in Electrical Engineering from Institut Teknologi Sepuluh Nopember Surabaya, Indonesia. His research interest lies in power system engineering.

Dwi Hadidjaja, Universitas Muhammadiyah Sidoarjo

a lecturer at the Department of Electrical Engineering, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo. He received the M. Eng degree in Electrical Engineering from Universitas Brawijaya Malang, Indonesia. His research interests lie in Electronic Control system engineering.

Indah Sulistiyowati, Universitas Muhammadiyah Sidoarjo

a lecturer at the Department of Electrical Engineering, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo. She received the M. Eng degree in Electrical Engineering from Institut Teknologi Sepuluh Nopember Surabaya, Indonesia. Her research interests control system engineering.

References

M. M. Trivedi, M. K. Budhvani, K. M. Sapovadiya, D. H. Pansuriya, and D. Chirag, “Design & Development of E-Bike - A Review,” vol. 1, no. 5, pp. 36–43, 2017.

D. Florez et al., “Development of a bike-sharing system based on pedal-assisted electric bicycles for bogota city,” Electron., vol. 7, no. 11, 2018.

I. Anshory, D. Hadidjaja, and R. B. Jakaria, “Bldc Motor : Modeling and Optimization Speed Control Using Firefly Algorithm,” Dinamik, vol. 25, no. 2, pp. 51–58, 2020.

H. Jigang, F. Hui, and W. Jie, “A PI controller optimized with modified differential evolution algorithm for speed control of BLDC motor,” vol. 60, no. 2, pp. 135–148, 2019.

C. Carangui, P. Delgado, M. Carpio, and D. P. Chacon-Troya, “Experimental identification of the transfer function model of a scale VTOL system by PRBS signals under ground effect,” 2016 IEEE Int. Conf. Autom. ICA-ACCA 2016, 2016.

B. Kumar, S. K. Swain, and N. Neogi, “Controller Design for Closed Loop Speed Control of BLDC Motor,” vol. 9, no. 1, 2017.

M. Schoukens and K. Tiels, “Identification of block-oriented nonlinear systems starting from linear approximations: A survey,” Automatica, vol. 85, pp. 272–292, 2017.

M. Al Greer, M. Armstrong, M. Ahmeid, and D. Giaouris, “Advances on System Identification Techniques for DC-DC Switch Mode Power Converter Applications,” vol. 8993, no. c, pp. 1–17, 2018.

S. Rachad, H. Fouraiji, and B. Bensassi, “Identification approach for a production system using ARX model,” Proc. 2nd IEEE Int. Conf. Logist. Oper. Manag. GOL 2014, pp. 93–97, 2014.

R. G. K. M. Aarts, System Identification and Parameter Estimation - Slides, 2011/2012. Enschede: Faculty of Engineering Technology Mechanical Automation and Mechatronics, Universiteit Twente, Enschede., 2013.

I. Anshory, I. Robandi, J. Jamaaluddin, A. Fudholi, and Wirawan, “Transfer function modeling and optimization speed response of bldc motor e-bike using intelligent controller,” J. Eng. Sci. Technol., 2021.

Edward Layer and Krzysztof Tomczyk, Measurements, Modelling and Simulation of Dynamic Systems. Poland: Springer-Verlag Berlin Heidelberg.

A. Ali, S. F. Ahmed, K. A. Kadir, M. K. Joyo, and R. N. S. Yarooq, “Fuzzy PID controller for upper limb rehabilitation robotic system,” 2018 IEEE Int. Conf. Innov. Res. Dev. ICIRD 2018, no. May, pp. 1–5, 2018.

D. Das, “Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor,” vol. 73, no. 4, pp. 37–41, 2013.

I. Anshory, I. Robandi, and Wirawan, “Monitoring and optimization of speed settings for Brushless Direct Current (BLDC) using Particle Swarm Optimization (PSO),” in Proceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016, 2016.

M. M. Sabir and T. Ali, “Optimal PID controller design through swarm intelligence algorithms for sun tracking system,” Appl. Math. Comput., vol. 274, pp. 690–699, 2016.

M. T. Daş, L. C. Dülger, and G. S. Daş, “Robotic applications with Particle Swarm Optimization (PSO),” 2013 Int. Conf. Control. Decis. Inf. Technol. CoDIT 2013, pp. 160–165, 2013.

Downloads

Published

2021-07-30

How to Cite

Anshory, I., Hadidjaja, D., & Sulistiyowati, I. (2021). Measurement, Modeling, and Optimization Speed Control of BLDC Motor Using Fuzzy-PSO Based Algorithm. Journal of Electrical Technology UMY, 5(1), 17–25. https://doi.org/10.18196/jet.v5i1.12113

Issue

Vol. 5 No. 1 (2021): June

Section

Articles

License

Copyright

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Journal of Electrical Technology UMY. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.

Authors should sign Copyright Transfer Agreement when they have approved the final proofs sent by the journal prior the publication. JET UMY strives to ensure that no errors occur in the articles that have been published, both data errors and statements in the article.

JET UMY keep the rights to articles that have been published. Authors are permitted to disseminate published article by sharing the link of JET UMY website. Authors are allowed to use their works for any purposes deemed necessary without written permission from JET UMY with an acknowledgement of initial publication in this journal.

License

All articles published in JET UMY are licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA) license. You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.