Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

Lon Jay Cheng; I. Hsuan Wu; Mi Ching Tsai

doi:10.1109/IFEEC47410.2019.9015012

Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

Lon Jay Cheng, I. Hsuan Wu, Mi Ching Tsai

Department of Mechanical Engineering

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

Abstract

This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.

Original language	English
Title of host publication	2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728131535
DOIs	https://doi.org/10.1109/IFEEC47410.2019.9015012
Publication status	Published - 2019 Nov
Event	4th IEEE International Future Energy Electronics Conference, IFEEC 2019 - Singapore, Singapore Duration: 2019 Nov 25 → 2019 Nov 28

Publication series

Name	2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

Conference

Conference	4th IEEE International Future Energy Electronics Conference, IFEEC 2019
Country/Territory	Singapore
City	Singapore
Period	19-11-25 → 19-11-28

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Energy Engineering and Power Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IFEEC47410.2019.9015012

Cite this

Cheng, L. J., Wu, I. H., & Tsai, M. C. (2019). Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor. In 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019 [9015012] (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFEEC47410.2019.9015012

Cheng, Lon Jay ; Wu, I. Hsuan ; Tsai, Mi Ching. / Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor. 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019).

@inproceedings{2270de8fd9ea4193822332c154e1d9e9,

title = "Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor",

abstract = "This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.",

author = "Cheng, {Lon Jay} and Wu, {I. Hsuan} and Tsai, {Mi Ching}",

year = "2019",

month = nov,

doi = "10.1109/IFEEC47410.2019.9015012",

language = "English",

series = "2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019",

address = "United States",

note = "4th IEEE International Future Energy Electronics Conference, IFEEC 2019 ; Conference date: 25-11-2019 Through 28-11-2019",

}

Cheng, LJ, Wu, IH & Tsai, MC 2019, Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor. in 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019., 9015012, 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019, Institute of Electrical and Electronics Engineers Inc., 4th IEEE International Future Energy Electronics Conference, IFEEC 2019, Singapore, Singapore, 19-11-25. https://doi.org/10.1109/IFEEC47410.2019.9015012

Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor. / Cheng, Lon Jay; Wu, I. Hsuan; Tsai, Mi Ching.
2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9015012 (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019).

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

TY - GEN

T1 - Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

AU - Cheng, Lon Jay

AU - Wu, I. Hsuan

AU - Tsai, Mi Ching

PY - 2019/11

Y1 - 2019/11

N2 - This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.

AB - This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=85082399083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85082399083&partnerID=8YFLogxK

U2 - 10.1109/IFEEC47410.2019.9015012

DO - 10.1109/IFEEC47410.2019.9015012

M3 - Conference contribution

T3 - 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

BT - 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Future Energy Electronics Conference, IFEEC 2019

Y2 - 25 November 2019 through 28 November 2019

ER -

Cheng LJ, Wu IH, Tsai MC. Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor. In 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9015012. (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019). doi: 10.1109/IFEEC47410.2019.9015012

Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

Abstract

Publication series

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UN SDGs

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