PI Based ANFIS Controller Design for PMSM Drives

Ipek Kuvvetli; Alper Tap; Lale T. Ergene

doi:10.23919/ELECO54474.2021.9677784

PI Based ANFIS Controller Design for PMSM Drives

Ipek Kuvvetli
, Alper Tap
, Lale T. Ergene

Department of Electrical Engineering

Istanbul Technical University

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

6 Citations (Scopus)

Abstract

This paper shows a performance analysis and comparison of two types of speed controllers for a Permanent Magnet Synchronous Motor (PMSM) drive. The most popular speed control technique for PMSMs is the conventional PI control integrated with Field Oriented Control (FOC). However, the non-linearity in the PMSM makes the conventional PI gain settings a challenging task and, this may result in an undesired overshoot. This paper presents more robust and enhanced performance characteristics using Adaptive Neuro Fuzzy Inference System (ANFIS) speed controller instead of a PI structure. The proposed system requires the extraction of training data from a PMSM dynamic model with a conventional PI controller. The performance results for both controllers under the different operating conditions are evaluated in the MATLAB environment.

Original language	English
Title of host publication	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	383-387
Number of pages	5
ISBN (Electronic)	9786050114379
DOIs	https://doi.org/10.23919/ELECO54474.2021.9677784
Publication status	Published - 2021
Event	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021

Publication series

Name	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Conference

Conference	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Country/Territory	Turkey
City	Virtual, Bursa
Period	25/11/21 → 27/11/21

Bibliographical note

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.23919/ELECO54474.2021.9677784

Cite this

Kuvvetli, I., Tap, A., & Ergene, L. T. (2021). PI Based ANFIS Controller Design for PMSM Drives. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 (pp. 383-387). (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO54474.2021.9677784

@inproceedings{c827d5295b0646c8b3b80a197f87e012,

title = "PI Based ANFIS Controller Design for PMSM Drives",

abstract = "This paper shows a performance analysis and comparison of two types of speed controllers for a Permanent Magnet Synchronous Motor (PMSM) drive. The most popular speed control technique for PMSMs is the conventional PI control integrated with Field Oriented Control (FOC). However, the non-linearity in the PMSM makes the conventional PI gain settings a challenging task and, this may result in an undesired overshoot. This paper presents more robust and enhanced performance characteristics using Adaptive Neuro Fuzzy Inference System (ANFIS) speed controller instead of a PI structure. The proposed system requires the extraction of training data from a PMSM dynamic model with a conventional PI controller. The performance results for both controllers under the different operating conditions are evaluated in the MATLAB environment.",

author = "Ipek Kuvvetli and Alper Tap and Ergene, \{Lale T.\}",

note = "Publisher Copyright: {\textcopyright} 2021 Chamber of Turkish Electrical Engineers.; 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 ; Conference date: 25-11-2021 Through 27-11-2021",

year = "2021",

doi = "10.23919/ELECO54474.2021.9677784",

language = "English",

series = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

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

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booktitle = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

address = "United States",

}

Kuvvetli, I, Tap, A & Ergene, LT 2021, PI Based ANFIS Controller Design for PMSM Drives. in 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 383-387, 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Turkey, 25/11/21. https://doi.org/10.23919/ELECO54474.2021.9677784

PI Based ANFIS Controller Design for PMSM Drives. / Kuvvetli, Ipek; Tap, Alper; Ergene, Lale T.
2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 383-387 (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021).

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

TY - GEN

T1 - PI Based ANFIS Controller Design for PMSM Drives

AU - Kuvvetli, Ipek

AU - Tap, Alper

AU - Ergene, Lale T.

PY - 2021

Y1 - 2021

N2 - This paper shows a performance analysis and comparison of two types of speed controllers for a Permanent Magnet Synchronous Motor (PMSM) drive. The most popular speed control technique for PMSMs is the conventional PI control integrated with Field Oriented Control (FOC). However, the non-linearity in the PMSM makes the conventional PI gain settings a challenging task and, this may result in an undesired overshoot. This paper presents more robust and enhanced performance characteristics using Adaptive Neuro Fuzzy Inference System (ANFIS) speed controller instead of a PI structure. The proposed system requires the extraction of training data from a PMSM dynamic model with a conventional PI controller. The performance results for both controllers under the different operating conditions are evaluated in the MATLAB environment.

AB - This paper shows a performance analysis and comparison of two types of speed controllers for a Permanent Magnet Synchronous Motor (PMSM) drive. The most popular speed control technique for PMSMs is the conventional PI control integrated with Field Oriented Control (FOC). However, the non-linearity in the PMSM makes the conventional PI gain settings a challenging task and, this may result in an undesired overshoot. This paper presents more robust and enhanced performance characteristics using Adaptive Neuro Fuzzy Inference System (ANFIS) speed controller instead of a PI structure. The proposed system requires the extraction of training data from a PMSM dynamic model with a conventional PI controller. The performance results for both controllers under the different operating conditions are evaluated in the MATLAB environment.

UR - https://www.scopus.com/pages/publications/85125267463

U2 - 10.23919/ELECO54474.2021.9677784

DO - 10.23919/ELECO54474.2021.9677784

M3 - Conference contribution

AN - SCOPUS:85125267463

T3 - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

SP - 383

EP - 387

BT - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

Kuvvetli I, Tap A, Ergene LT. PI Based ANFIS Controller Design for PMSM Drives. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 383-387. (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). doi: 10.23919/ELECO54474.2021.9677784

PI Based ANFIS Controller Design for PMSM Drives

Abstract

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Bibliographical note

UN SDGs

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