Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor

Neelofar Shaukat; Bilal Khan; Chaudhary Arshad Mehmood; S. M. Ali

doi:10.1109/FIT.2016.058

Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor

Neelofar Shaukat
, Bilal Khan
, Chaudhary Arshad Mehmood
, S. M. Ali

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

3 Scopus citations

Abstract

This paper presents the comparison of conventional PI controller and Fuzzy controller for Induction Motor (IM) drive. The design of Fuzzy controller is carried out by fuzzy set theory in MATLAB/Simulink 2013a, using Takagi-Sugeno (T-S) fuzzy model. The simulation results for both controllers are then compared and the results revealed that T-S Fuzzy Controller perform better in terms of control delay to load variations, as compared to Conventional PI controller. The overall pre and post disturbance analysis presented the robustness of the proposed controller to all load disturbances. The T-S fuzzy controller thus can be used as an alternative to PI controller, where dynamic superior performance of nonlinear systems is required.

Original language	English
Title of host publication	Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	280-285
Number of pages	6
ISBN (Electronic)	9781509053001
DOIs	https://doi.org/10.1109/FIT.2016.058
State	Published - 27 Feb 2017
Externally published	Yes
Event	14th International Conference on Frontiers of Information Technology, FIT 2016 - Islamabad, Pakistan Duration: 19 Dec 2016 → 21 Dec 2016

Publication series

Name	Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016

Conference

Conference	14th International Conference on Frontiers of Information Technology, FIT 2016
Country/Territory	Pakistan
City	Islamabad
Period	19/12/16 → 21/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Induction Motor derive
Proportional Integral derivative
Speed control
Takagi-Sugeno Fuzzy

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Control and Optimization

Access to Document

10.1109/FIT.2016.058

Cite this

Shaukat, N., Khan, B., Mehmood, C. A., & Ali, S. M. (2017). Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor. In Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016 (pp. 280-285). Article 7866767 (Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FIT.2016.058

Shaukat, Neelofar ; Khan, Bilal ; Mehmood, Chaudhary Arshad et al. / Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor. Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 280-285 (Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016).

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title = "Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor",

abstract = "This paper presents the comparison of conventional PI controller and Fuzzy controller for Induction Motor (IM) drive. The design of Fuzzy controller is carried out by fuzzy set theory in MATLAB/Simulink 2013a, using Takagi-Sugeno (T-S) fuzzy model. The simulation results for both controllers are then compared and the results revealed that T-S Fuzzy Controller perform better in terms of control delay to load variations, as compared to Conventional PI controller. The overall pre and post disturbance analysis presented the robustness of the proposed controller to all load disturbances. The T-S fuzzy controller thus can be used as an alternative to PI controller, where dynamic superior performance of nonlinear systems is required.",

keywords = "Induction Motor derive, Proportional Integral derivative, Speed control, Takagi-Sugeno Fuzzy",

author = "Neelofar Shaukat and Bilal Khan and Mehmood, \{Chaudhary Arshad\} and Ali, \{S. M.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th International Conference on Frontiers of Information Technology, FIT 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

year = "2017",

month = feb,

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doi = "10.1109/FIT.2016.058",

language = "English",

series = "Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016",

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Shaukat, N, Khan, B, Mehmood, CA & Ali, SM 2017, Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor. in Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016., 7866767, Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 280-285, 14th International Conference on Frontiers of Information Technology, FIT 2016, Islamabad, Pakistan, 19/12/16. https://doi.org/10.1109/FIT.2016.058

Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor. / Shaukat, Neelofar; Khan, Bilal; Mehmood, Chaudhary Arshad et al.
Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 280-285 7866767 (Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016).

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

TY - GEN

T1 - Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor

AU - Shaukat, Neelofar

AU - Khan, Bilal

AU - Mehmood, Chaudhary Arshad

AU - Ali, S. M.

PY - 2017/2/27

Y1 - 2017/2/27

N2 - This paper presents the comparison of conventional PI controller and Fuzzy controller for Induction Motor (IM) drive. The design of Fuzzy controller is carried out by fuzzy set theory in MATLAB/Simulink 2013a, using Takagi-Sugeno (T-S) fuzzy model. The simulation results for both controllers are then compared and the results revealed that T-S Fuzzy Controller perform better in terms of control delay to load variations, as compared to Conventional PI controller. The overall pre and post disturbance analysis presented the robustness of the proposed controller to all load disturbances. The T-S fuzzy controller thus can be used as an alternative to PI controller, where dynamic superior performance of nonlinear systems is required.

AB - This paper presents the comparison of conventional PI controller and Fuzzy controller for Induction Motor (IM) drive. The design of Fuzzy controller is carried out by fuzzy set theory in MATLAB/Simulink 2013a, using Takagi-Sugeno (T-S) fuzzy model. The simulation results for both controllers are then compared and the results revealed that T-S Fuzzy Controller perform better in terms of control delay to load variations, as compared to Conventional PI controller. The overall pre and post disturbance analysis presented the robustness of the proposed controller to all load disturbances. The T-S fuzzy controller thus can be used as an alternative to PI controller, where dynamic superior performance of nonlinear systems is required.

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KW - Proportional Integral derivative

KW - Speed control

KW - Takagi-Sugeno Fuzzy

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Shaukat N, Khan B, Mehmood CA, Ali SM. Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor. In Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 280-285. 7866767. (Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016). doi: 10.1109/FIT.2016.058

Takagi-Sugeno Fuzzy Logic Based Speed Control of Induction Motor

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this