Control of Brushless DC Motor Speed Using Fuzzy Logic Method
DOI:
https://doi.org/10.24014/sitekin.v12i2.980Keywords:
control, fuzzy logic, response, motor, BLDCAbstract
BLDC motors were operated in many industrial environments, especially flammable industry. Besides, it possessed higher efficiency than induction motors. Fuzzy logic was used as one of the motor speed controlling methods. The design of fuzzy controllers was done by simulating the output speed based on fuzzy controlling reference in order to obtain optimal control results. Several types of defuzzification used were COA / centroid, bisector, MOM, LOM, and SOM. Transient and ISE calculation methods were used to analyze the design optimization of control. The result showed that defuzzification method was able to follow the speed setting that was provided by COA method. The testing on changes of the speed setting from 1000 rpm to 2000 rpm showed the response characteristics of conventional PID control system with an average value of the rise time(tr) 0.29 second, steady time(ts) 0.9 second, overshoot 8.63%, and the percentage of ISE 98.19%. While results generated on fuzzy control system were average value of rise time(tr) 0.25 second, steady time(ts) 0.27 second, overshoot 0.15% and the percentage of ISE 99.36%.References
Hidayat, Pengembangan Hybrid PID-ANFIS (Proportional Integral Derivative-Adaptive Neuro Fuzzy Inference Systems) sebagai Pengendali Kecepatan Mesin Arus Searah Tanpa Sikat (MASTS), Desertasi Universitas Gadjah Mada, Yogyakarta, 2014.
Sutikno, Perbandingan Metode Defuzzifikasi Aturan Mamdani Pada Sistem Kendali Logika Fuzzy, Tugas akhir, Universitas Diponegoro. Semarang, 2005.
Suratno, Pengaruh Perbedaan Tipe Fungsi Keanggotaan pada Pengendali Logika Fuzzy terhadap Tanggapan Waktu Sistem Orde Dua secara umum, Tugas akhir Universitas Diponegoro, Semarang, 2002.
NXP, AN10898 BLDC motor control with LPC1700. Rev. 01, NXP Semiconductors. Hongkong, 2010.
Munawar,I. and Yahuarsyah,H., Pemodelan dan Analisis Sistem Pensaklaran Motor Arus Searah Tanpa Sikat,Desertasi S3 Jurusan Tenik Elektro Institut Teknologi Bandung, Bandung, 2005.
Diepenbrock, J., On Power Electronics 3. pp 420, IEEE Trans, North Carolina, 1998.
Mathworks, Applications of Fuzzy Logic in Control Design, The Mathworks Inc, USA, 1996.
Kusumadewi, Sri, Analisis dan Desain Sistem Fuzzy menggunakan Toolbox Matlab, Graha Ilmu, Yogyakarta, 2002.
Kealy,T. and O’Dwyer,A., Analitycal ISE Calculation and Optimum Control System Design. Proceeding of 2003 The Irish Signals and System Conference, Irlandia, 2003, pp. 418-423
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Copyright Notice
An author who publishes in the SITEKIN Journal agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-ShareAlike 4.0 Licence here: https://creativecommons.org/licenses/by-sa/4.0/.