Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor

Grangsang Sotyaramadhani; Alief Wikarta; M. Nur Yuniarto

doi:10.1063/1.5046302

Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor

Grangsang Sotyaramadhani^*
, Alief Wikarta
, M. Nur Yuniarto

^*Corresponding author for this work

Mechanical Engineering Department
Institut Teknologi Sepuluh Nopember
Center of Excellence for Automotive Control and System

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Automotive technologies growing fast nowadays, as all know that electric vehicle is one of the most interesting field there. Higher efficiency, better performance, and eco-friendly technology are great values offered by this technology. Even though many researcher keep trying to increase those values offered. Some of them are trying to implement Fuzzy Logic Algorithm in the control system which drives the electric motor. Fuzzy Logic are implemented on top of the PID control system so the Kp, Ki, and Kd parameters will be changed based on the feedback of the controller. This paper provides different Fuzzy Logic Algorithm, instead of implemented it on top of PID control system, Fuzzy Logic Algorithm's output will be calculated directly for driving electric motor which is axial BLDC type of electric motor in this case. The experimental results show that implementing Fuzzy Logic directly is much better than previous approach.

Original language	English
Title of host publication	Disruptive Innovation in Mechanical Engineering for Industry Competitiveness
Subtitle of host publication	Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017
Editors	Vivien S. Djanali, Suwarno, Bambang Pramujati, Volodymyr A. Yartys
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735416994
DOIs	https://doi.org/10.1063/1.5046302
Publication status	Published - 13 Jul 2018
Event	3rd International Conference on Mechanical Engineering, ICOME 2017 - Surabaya, Indonesia Duration: 5 Oct 2017 → 6 Oct 2017

Publication series

Name	AIP Conference Proceedings
Volume	1983
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	3rd International Conference on Mechanical Engineering, ICOME 2017
Country/Territory	Indonesia
City	Surabaya
Period	5/10/17 → 6/10/17

Access to Document

10.1063/1.5046302

Cite this

Sotyaramadhani, G., Wikarta, A., & Yuniarto, M. N. (2018). Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor. In V. S. Djanali, Suwarno, B. Pramujati, & V. A. Yartys (Eds.), Disruptive Innovation in Mechanical Engineering for Industry Competitiveness: Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017 Article 060010 (AIP Conference Proceedings; Vol. 1983). American Institute of Physics Inc.. https://doi.org/10.1063/1.5046302

Sotyaramadhani, Grangsang ; Wikarta, Alief ; Yuniarto, M. Nur. / Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor. Disruptive Innovation in Mechanical Engineering for Industry Competitiveness: Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017. editor / Vivien S. Djanali ; Suwarno ; Bambang Pramujati ; Volodymyr A. Yartys. American Institute of Physics Inc., 2018. (AIP Conference Proceedings).

@inproceedings{11e56e71808542b6878a87038f932119,

title = "Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor",

abstract = "Automotive technologies growing fast nowadays, as all know that electric vehicle is one of the most interesting field there. Higher efficiency, better performance, and eco-friendly technology are great values offered by this technology. Even though many researcher keep trying to increase those values offered. Some of them are trying to implement Fuzzy Logic Algorithm in the control system which drives the electric motor. Fuzzy Logic are implemented on top of the PID control system so the Kp, Ki, and Kd parameters will be changed based on the feedback of the controller. This paper provides different Fuzzy Logic Algorithm, instead of implemented it on top of PID control system, Fuzzy Logic Algorithm's output will be calculated directly for driving electric motor which is axial BLDC type of electric motor in this case. The experimental results show that implementing Fuzzy Logic directly is much better than previous approach.",

author = "Grangsang Sotyaramadhani and Alief Wikarta and Yuniarto, \{M. Nur\}",

note = "Publisher Copyright: {\textcopyright} 2018 Author(s).; 3rd International Conference on Mechanical Engineering, ICOME 2017 ; Conference date: 05-10-2017 Through 06-10-2017",

year = "2018",

month = jul,

day = "13",

doi = "10.1063/1.5046302",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Djanali, \{Vivien S.\} and Suwarno and Bambang Pramujati and Yartys, \{Volodymyr A.\}",

booktitle = "Disruptive Innovation in Mechanical Engineering for Industry Competitiveness",

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Sotyaramadhani, G, Wikarta, A & Yuniarto, MN 2018, Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor. in VS Djanali, Suwarno, B Pramujati & VA Yartys (eds), Disruptive Innovation in Mechanical Engineering for Industry Competitiveness: Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017., 060010, AIP Conference Proceedings, vol. 1983, American Institute of Physics Inc., 3rd International Conference on Mechanical Engineering, ICOME 2017, Surabaya, Indonesia, 5/10/17. https://doi.org/10.1063/1.5046302

Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor. / Sotyaramadhani, Grangsang; Wikarta, Alief ; Yuniarto, M. Nur.
Disruptive Innovation in Mechanical Engineering for Industry Competitiveness: Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017. ed. / Vivien S. Djanali; Suwarno; Bambang Pramujati; Volodymyr A. Yartys. American Institute of Physics Inc., 2018. 060010 (AIP Conference Proceedings; Vol. 1983).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sotyaramadhani, Grangsang

AU - Wikarta, Alief

AU - Yuniarto, M. Nur

PY - 2018/7/13

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N2 - Automotive technologies growing fast nowadays, as all know that electric vehicle is one of the most interesting field there. Higher efficiency, better performance, and eco-friendly technology are great values offered by this technology. Even though many researcher keep trying to increase those values offered. Some of them are trying to implement Fuzzy Logic Algorithm in the control system which drives the electric motor. Fuzzy Logic are implemented on top of the PID control system so the Kp, Ki, and Kd parameters will be changed based on the feedback of the controller. This paper provides different Fuzzy Logic Algorithm, instead of implemented it on top of PID control system, Fuzzy Logic Algorithm's output will be calculated directly for driving electric motor which is axial BLDC type of electric motor in this case. The experimental results show that implementing Fuzzy Logic directly is much better than previous approach.

AB - Automotive technologies growing fast nowadays, as all know that electric vehicle is one of the most interesting field there. Higher efficiency, better performance, and eco-friendly technology are great values offered by this technology. Even though many researcher keep trying to increase those values offered. Some of them are trying to implement Fuzzy Logic Algorithm in the control system which drives the electric motor. Fuzzy Logic are implemented on top of the PID control system so the Kp, Ki, and Kd parameters will be changed based on the feedback of the controller. This paper provides different Fuzzy Logic Algorithm, instead of implemented it on top of PID control system, Fuzzy Logic Algorithm's output will be calculated directly for driving electric motor which is axial BLDC type of electric motor in this case. The experimental results show that implementing Fuzzy Logic directly is much better than previous approach.

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Sotyaramadhani G, Wikarta A , Yuniarto MN. Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor. In Djanali VS, Suwarno, Pramujati B, Yartys VA, editors, Disruptive Innovation in Mechanical Engineering for Industry Competitiveness: Proceedings of the 3rd International Conference on Mechanical Engineering, ICOME 2017. American Institute of Physics Inc. 2018. 060010. (AIP Conference Proceedings). doi: 10.1063/1.5046302

Different approach of fuzzy logic algorithm implementation for increasing performance of axial BLDC motor

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