Single Neuron PID Based ESO for PMSM Control

Yixin Feng; Tianru Zhang

doi:10.1109/ICPECA63937.2025.10928874

Single Neuron PID Based ESO for PMSM Control

Yixin Feng, Tianru Zhang^*

^*Corresponding author for this work

Department of Mechatronics and Robotics

Xi'an Jiaotong-Liverpool University

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

Abstract

A single neuron PID (SNPID) and extended state observer (ESO) is proposed, to address PID parameter optimization and disturbance compensation for PMSM systems. Firstly, it is difficult to determine the optimal values of the PID, a single neuron neural network is proposed to optimize the proportional, integral, and differential parameters, respectively. Secondly, in order to weaken the disturbance of the PMSM system, the ESO is proposed. Then, a composite control method with SN-PID and ESO (SN-PID-ESO) is used to improve the control quality. Finally, transient and steady state performances are verified by comparative simulations.

Original language	English
Title of host publication	2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	605-609
Number of pages	5
ISBN (Electronic)	9798331533694
DOIs	https://doi.org/10.1109/ICPECA63937.2025.10928874
Publication status	Published - 2025
Event	5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025 - Shenyang, China Duration: 17 Jan 2025 → 19 Jan 2025

Publication series

Name	2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025

Conference

Conference	5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025
Country/Territory	China
City	Shenyang
Period	17/01/25 → 19/01/25

Keywords

extended state observer
permanent magnet synchronous motor (PMSM)
PID
single neuron

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10.1109/ICPECA63937.2025.10928874

Cite this

Feng, Y., & Zhang, T. (2025). Single Neuron PID Based ESO for PMSM Control. In 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025 (pp. 605-609). (2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPECA63937.2025.10928874

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title = "Single Neuron PID Based ESO for PMSM Control",

abstract = "A single neuron PID (SNPID) and extended state observer (ESO) is proposed, to address PID parameter optimization and disturbance compensation for PMSM systems. Firstly, it is difficult to determine the optimal values of the PID, a single neuron neural network is proposed to optimize the proportional, integral, and differential parameters, respectively. Secondly, in order to weaken the disturbance of the PMSM system, the ESO is proposed. Then, a composite control method with SN-PID and ESO (SN-PID-ESO) is used to improve the control quality. Finally, transient and steady state performances are verified by comparative simulations.",

keywords = "extended state observer, permanent magnet synchronous motor (PMSM), PID, single neuron",

author = "Yixin Feng and Tianru Zhang",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025 ; Conference date: 17-01-2025 Through 19-01-2025",

year = "2025",

doi = "10.1109/ICPECA63937.2025.10928874",

language = "English",

series = "2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025",

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

pages = "605--609",

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Feng, Y & Zhang, T 2025, Single Neuron PID Based ESO for PMSM Control. in 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025. 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025, Institute of Electrical and Electronics Engineers Inc., pp. 605-609, 5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025, Shenyang, China, 17/01/25. https://doi.org/10.1109/ICPECA63937.2025.10928874

Single Neuron PID Based ESO for PMSM Control. / Feng, Yixin; Zhang, Tianru.
2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 605-609 (2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025).

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

TY - GEN

T1 - Single Neuron PID Based ESO for PMSM Control

AU - Feng, Yixin

AU - Zhang, Tianru

PY - 2025

Y1 - 2025

N2 - A single neuron PID (SNPID) and extended state observer (ESO) is proposed, to address PID parameter optimization and disturbance compensation for PMSM systems. Firstly, it is difficult to determine the optimal values of the PID, a single neuron neural network is proposed to optimize the proportional, integral, and differential parameters, respectively. Secondly, in order to weaken the disturbance of the PMSM system, the ESO is proposed. Then, a composite control method with SN-PID and ESO (SN-PID-ESO) is used to improve the control quality. Finally, transient and steady state performances are verified by comparative simulations.

AB - A single neuron PID (SNPID) and extended state observer (ESO) is proposed, to address PID parameter optimization and disturbance compensation for PMSM systems. Firstly, it is difficult to determine the optimal values of the PID, a single neuron neural network is proposed to optimize the proportional, integral, and differential parameters, respectively. Secondly, in order to weaken the disturbance of the PMSM system, the ESO is proposed. Then, a composite control method with SN-PID and ESO (SN-PID-ESO) is used to improve the control quality. Finally, transient and steady state performances are verified by comparative simulations.

KW - extended state observer

KW - permanent magnet synchronous motor (PMSM)

KW - PID

KW - single neuron

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SP - 605

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BT - 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025

Y2 - 17 January 2025 through 19 January 2025

ER -

Feng Y, Zhang T. Single Neuron PID Based ESO for PMSM Control. In 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 605-609. (2025 IEEE 5th International Conference on Power, Electronics and Computer Applications, ICPECA 2025). doi: 10.1109/ICPECA63937.2025.10928874

Single Neuron PID Based ESO for PMSM Control

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