Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods

Taha Nurettin Gücin; Muhammet Biberoǧlu; Bekir Fincan; Mehmet Onur Gülbahçe

doi:10.1109/ELECO.2015.7394556

Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods

Taha Nurettin Gücin
, Muhammet Biberoǧlu
, Bekir Fincan
, Mehmet Onur Gülbahçe

Department of Electrical Engineering

Yalova University
Istanbul Technical University

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

18 Citations (Scopus)

Abstract

This work presents a comparison between different tuning methods for cascade PI(D) controller parameters of the permanent magnet direct current (PMDC) motor drives. First, the classical method (CM) for cascade PI(D) tuning is explained and applied. It has been shown that the classical tuning approach requires some assumptions. Next, a heuristic optimization technique, the Bacterial Foraging Algorithm (BFA), has been introduced and implemented for the problem. Lastly, for the comparison, the Genetic Algorithm (GA) is applied for the cascade PI(D) tuning problem. The results for these three methods are compared and discussed. It is shown that the controller designed by BFA showed better dynamic performance.

Original language	English
Title of host publication	ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1061-1066
Number of pages	6
ISBN (Electronic)	9786050107371
DOIs	https://doi.org/10.1109/ELECO.2015.7394556
Publication status	Published - 28 Jan 2016
Event	9th International Conference on Electrical and Electronics Engineering, ELECO 2015 - Bursa, Turkey Duration: 26 Nov 2015 → 28 Nov 2015

Publication series

Name	ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering

Conference

Conference	9th International Conference on Electrical and Electronics Engineering, ELECO 2015
Country/Territory	Turkey
City	Bursa
Period	26/11/15 → 28/11/15

Bibliographical note

Publisher Copyright:
© 2015 Chamber of Electrical Engineers of Turkey.

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10.1109/ELECO.2015.7394556

Cite this

Gücin, T. N., Biberoǧlu, M., Fincan, B., & Gülbahçe, M. O. (2016). Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods. In ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering (pp. 1061-1066). Article 7394556 (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECO.2015.7394556

Gücin, Taha Nurettin ; Biberoǧlu, Muhammet ; Fincan, Bekir et al. / Tuning cascade PI(D) controllers in PMDC motor drives : A performance comparison for different types of tuning methods. ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1061-1066 (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering).

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title = "Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods",

abstract = "This work presents a comparison between different tuning methods for cascade PI(D) controller parameters of the permanent magnet direct current (PMDC) motor drives. First, the classical method (CM) for cascade PI(D) tuning is explained and applied. It has been shown that the classical tuning approach requires some assumptions. Next, a heuristic optimization technique, the Bacterial Foraging Algorithm (BFA), has been introduced and implemented for the problem. Lastly, for the comparison, the Genetic Algorithm (GA) is applied for the cascade PI(D) tuning problem. The results for these three methods are compared and discussed. It is shown that the controller designed by BFA showed better dynamic performance.",

author = "G{\"u}cin, \{Taha Nurettin\} and Muhammet Biberoǧlu and Bekir Fincan and G{\"u}lbah{\c c}e, \{Mehmet Onur\}",

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doi = "10.1109/ELECO.2015.7394556",

language = "English",

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Gücin, TN, Biberoǧlu, M, Fincan, B & Gülbahçe, MO 2016, Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods. in ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering., 7394556, ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 1061-1066, 9th International Conference on Electrical and Electronics Engineering, ELECO 2015, Bursa, Turkey, 26/11/15. https://doi.org/10.1109/ELECO.2015.7394556

Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods. / Gücin, Taha Nurettin; Biberoǧlu, Muhammet; Fincan, Bekir et al.
ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1061-1066 7394556 (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering).

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

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N2 - This work presents a comparison between different tuning methods for cascade PI(D) controller parameters of the permanent magnet direct current (PMDC) motor drives. First, the classical method (CM) for cascade PI(D) tuning is explained and applied. It has been shown that the classical tuning approach requires some assumptions. Next, a heuristic optimization technique, the Bacterial Foraging Algorithm (BFA), has been introduced and implemented for the problem. Lastly, for the comparison, the Genetic Algorithm (GA) is applied for the cascade PI(D) tuning problem. The results for these three methods are compared and discussed. It is shown that the controller designed by BFA showed better dynamic performance.

AB - This work presents a comparison between different tuning methods for cascade PI(D) controller parameters of the permanent magnet direct current (PMDC) motor drives. First, the classical method (CM) for cascade PI(D) tuning is explained and applied. It has been shown that the classical tuning approach requires some assumptions. Next, a heuristic optimization technique, the Bacterial Foraging Algorithm (BFA), has been introduced and implemented for the problem. Lastly, for the comparison, the Genetic Algorithm (GA) is applied for the cascade PI(D) tuning problem. The results for these three methods are compared and discussed. It is shown that the controller designed by BFA showed better dynamic performance.

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Gücin TN, Biberoǧlu M, Fincan B, Gülbahçe MO. Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods. In ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1061-1066. 7394556. (ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering). doi: 10.1109/ELECO.2015.7394556

Tuning cascade PI(D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods

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