Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive

Kamran Zeb; Komal Saleem; C. A. Mehmood; Waqar Uddin; Muhammad Zia Ur Rehman; Aun Haider; M. A. Javed

doi:10.1109/ICRAI.2016.7791235

Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive

Kamran Zeb, Komal Saleem, C. A. Mehmood, Waqar Uddin, Muhammad Zia Ur Rehman, Aun Haider, M. A. Javed

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

9 Scopus citations

Abstract

A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.

Original language	English
Title of host publication	2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	93-98
Number of pages	6
ISBN (Electronic)	9781509040599
DOIs	https://doi.org/10.1109/ICRAI.2016.7791235
State	Published - 19 Dec 2016
Externally published	Yes
Event	2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016 - Islamabad, Pakistan Duration: 1 Nov 2016 → 2 Nov 2016

Publication series

Name	2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016

Conference

Conference	2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016
Country/Territory	Pakistan
City	Islamabad
Period	1/11/16 → 2/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Adaptive PI
Induction Motor (IM)
Space Vector Pulse Width Modulation (SVPWM)
indirect vector control (IVC)

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction

Access to Document

10.1109/ICRAI.2016.7791235

Cite this

Zeb, K., Saleem, K., Mehmood, C. A., Uddin, W., Ur Rehman, M. Z., Haider, A., & Javed, M. A. (2016). Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive. In 2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016 (pp. 93-98). Article 7791235 (2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRAI.2016.7791235

Zeb, Kamran ; Saleem, Komal ; Mehmood, C. A. et al. / Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive. 2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 93-98 (2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016).

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title = "Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive",

abstract = "A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.",

keywords = "Adaptive PI, Induction Motor (IM), Space Vector Pulse Width Modulation (SVPWM), indirect vector control (IVC)",

author = "Kamran Zeb and Komal Saleem and Mehmood, {C. A.} and Waqar Uddin and {Ur Rehman}, {Muhammad Zia} and Aun Haider and Javed, {M. A.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016 ; Conference date: 01-11-2016 Through 02-11-2016",

year = "2016",

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doi = "10.1109/ICRAI.2016.7791235",

language = "English",

series = "2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016",

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Zeb, K, Saleem, K, Mehmood, CA, Uddin, W, Ur Rehman, MZ, Haider, A & Javed, MA 2016, Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive. in 2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016., 7791235, 2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 93-98, 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016, Islamabad, Pakistan, 1/11/16. https://doi.org/10.1109/ICRAI.2016.7791235

Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive. / Zeb, Kamran; Saleem, Komal; Mehmood, C. A. et al.
2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 93-98 7791235 (2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016).

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

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AU - Zeb, Kamran

AU - Saleem, Komal

AU - Mehmood, C. A.

AU - Uddin, Waqar

AU - Ur Rehman, Muhammad Zia

AU - Haider, Aun

AU - Javed, M. A.

PY - 2016/12/19

Y1 - 2016/12/19

N2 - A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.

AB - A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.

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Y2 - 1 November 2016 through 2 November 2016

ER -

Zeb K, Saleem K, Mehmood CA, Uddin W, Ur Rehman MZ, Haider A et al. Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive. In 2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 93-98. 7791235. (2016 2nd International Conference on Robotics and Artificial Intelligence, ICRAI 2016). doi: 10.1109/ICRAI.2016.7791235

Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this