Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection

Agus Mukhlisin; Estiko Rijanto; I. Nyoman Sutantra; Muhammad Nur Yuniarto; Agus Sigit Pramono

doi:10.1063/1.5138364

Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection

Agus Mukhlisin, Estiko Rijanto, I. Nyoman Sutantra, Muhammad Nur Yuniarto, Agus Sigit Pramono

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

Abstract

One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in the global market. One of the reasons is that the Hall sensors' configuration is not well informed. Another reason is the motor parameter's values used in the controller are not well suited with the real physical conditions of the motor. This study aims to design an intelligent reconfigurable BLDC motor controller. In this paper, a method for automatic commutation configuration and automatic parameter values detection is presented. The Hall sensors and motor phases configurations are identified. The BLDC motor parameter values are detected automatically using mathematical models. Those parameters include internal resistance, inductance, coefficient of back electromotive force (BEMF), torque coefficient, friction coefficient, and moment of inertia. Experimental results of the automatic commutation configuration and parameter values detection are presented. Those results were used to develop a current controller. Further experimental results indicated that the method could be implemented in a BLDC motor current controller.

Original language	English
Title of host publication	Innovative Science and Technology in Mechanical Engineering for Industry 4.0
Subtitle of host publication	Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019
Editors	Vivien Djanali, Fahmi Mubarok, Bambang Pramujati, Suwarno
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735419346
DOIs	https://doi.org/10.1063/1.5138364
Publication status	Published - 10 Dec 2019
Externally published	Yes
Event	4th International Conference on Mechanical Engineering: Innovative Science and Technology in Mechanical Engineering for Industry 4.0, ICOME 2019 - Yogyakarta, Indonesia Duration: 28 Aug 2019 → 29 Aug 2019

Publication series

Name	AIP Conference Proceedings
Volume	2187
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	4th International Conference on Mechanical Engineering: Innovative Science and Technology in Mechanical Engineering for Industry 4.0, ICOME 2019
Country/Territory	Indonesia
City	Yogyakarta
Period	28/08/19 → 29/08/19

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10.1063/1.5138364

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Mukhlisin, A., Rijanto, E., Sutantra, I. N., Yuniarto, M. N., & Pramono, A. S. (2019). Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection. In V. Djanali, F. Mubarok, B. Pramujati, & Suwarno (Eds.), Innovative Science and Technology in Mechanical Engineering for Industry 4.0: Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019 (AIP Conference Proceedings; Vol. 2187). American Institute of Physics Inc.. https://doi.org/10.1063/1.5138364

Mukhlisin, Agus ; Rijanto, Estiko ; Sutantra, I. Nyoman et al. / Towards an intelligent reconfigurable BLDC motor controller : Commutation configuration and parameters detection. Innovative Science and Technology in Mechanical Engineering for Industry 4.0: Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019. editor / Vivien Djanali ; Fahmi Mubarok ; Bambang Pramujati ; Suwarno. American Institute of Physics Inc., 2019. (AIP Conference Proceedings).

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title = "Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection",

abstract = "One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in the global market. One of the reasons is that the Hall sensors' configuration is not well informed. Another reason is the motor parameter's values used in the controller are not well suited with the real physical conditions of the motor. This study aims to design an intelligent reconfigurable BLDC motor controller. In this paper, a method for automatic commutation configuration and automatic parameter values detection is presented. The Hall sensors and motor phases configurations are identified. The BLDC motor parameter values are detected automatically using mathematical models. Those parameters include internal resistance, inductance, coefficient of back electromotive force (BEMF), torque coefficient, friction coefficient, and moment of inertia. Experimental results of the automatic commutation configuration and parameter values detection are presented. Those results were used to develop a current controller. Further experimental results indicated that the method could be implemented in a BLDC motor current controller.",

author = "Agus Mukhlisin and Estiko Rijanto and Sutantra, {I. Nyoman} and Yuniarto, {Muhammad Nur} and Pramono, {Agus Sigit}",

note = "Publisher Copyright: {\textcopyright} 2019 Author(s).; 4th International Conference on Mechanical Engineering: Innovative Science and Technology in Mechanical Engineering for Industry 4.0, ICOME 2019 ; Conference date: 28-08-2019 Through 29-08-2019",

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month = dec,

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doi = "10.1063/1.5138364",

language = "English",

series = "AIP Conference Proceedings",

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Mukhlisin, A, Rijanto, E, Sutantra, IN, Yuniarto, MN & Pramono, AS 2019, Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection. in V Djanali, F Mubarok, B Pramujati & Suwarno (eds), Innovative Science and Technology in Mechanical Engineering for Industry 4.0: Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019. AIP Conference Proceedings, vol. 2187, American Institute of Physics Inc., 4th International Conference on Mechanical Engineering: Innovative Science and Technology in Mechanical Engineering for Industry 4.0, ICOME 2019, Yogyakarta, Indonesia, 28/08/19. https://doi.org/10.1063/1.5138364

Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection. / Mukhlisin, Agus; Rijanto, Estiko; Sutantra, I. Nyoman et al.
Innovative Science and Technology in Mechanical Engineering for Industry 4.0: Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019. ed. / Vivien Djanali; Fahmi Mubarok; Bambang Pramujati; Suwarno. American Institute of Physics Inc., 2019. (AIP Conference Proceedings; Vol. 2187).

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

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AU - Sutantra, I. Nyoman

AU - Yuniarto, Muhammad Nur

AU - Pramono, Agus Sigit

PY - 2019/12/10

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N2 - One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in the global market. One of the reasons is that the Hall sensors' configuration is not well informed. Another reason is the motor parameter's values used in the controller are not well suited with the real physical conditions of the motor. This study aims to design an intelligent reconfigurable BLDC motor controller. In this paper, a method for automatic commutation configuration and automatic parameter values detection is presented. The Hall sensors and motor phases configurations are identified. The BLDC motor parameter values are detected automatically using mathematical models. Those parameters include internal resistance, inductance, coefficient of back electromotive force (BEMF), torque coefficient, friction coefficient, and moment of inertia. Experimental results of the automatic commutation configuration and parameter values detection are presented. Those results were used to develop a current controller. Further experimental results indicated that the method could be implemented in a BLDC motor current controller.

AB - One of the key components in an electric vehicle is brushless direct current (BLDC) motor controller. At present, it is difficult to match a self-made motor controller with several different BLDC motors available in the global market. One of the reasons is that the Hall sensors' configuration is not well informed. Another reason is the motor parameter's values used in the controller are not well suited with the real physical conditions of the motor. This study aims to design an intelligent reconfigurable BLDC motor controller. In this paper, a method for automatic commutation configuration and automatic parameter values detection is presented. The Hall sensors and motor phases configurations are identified. The BLDC motor parameter values are detected automatically using mathematical models. Those parameters include internal resistance, inductance, coefficient of back electromotive force (BEMF), torque coefficient, friction coefficient, and moment of inertia. Experimental results of the automatic commutation configuration and parameter values detection are presented. Those results were used to develop a current controller. Further experimental results indicated that the method could be implemented in a BLDC motor current controller.

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Y2 - 28 August 2019 through 29 August 2019

ER -

Mukhlisin A, Rijanto E, Sutantra IN, Yuniarto MN, Pramono AS. Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection. In Djanali V, Mubarok F, Pramujati B, Suwarno, editors, Innovative Science and Technology in Mechanical Engineering for Industry 4.0: Proceedings of the 4th International Conference on Mechanical Engineering, ICOME 2019. American Institute of Physics Inc. 2019. (AIP Conference Proceedings). doi: 10.1063/1.5138364

Towards an intelligent reconfigurable BLDC motor controller: Commutation configuration and parameters detection

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