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Energies
Volume 15
Issue 2
10.3390/en15020642
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Article

Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications

by
Rajesh Poola
* and
Tsuyoshi Hanamoto
Department of Life Science and Systems Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka 808-0196, Japan
*
Author to whom correspondence should be addressed.
Energies 2022, 15(2), 642; https://doi.org/10.3390/en15020642
Submission received: 14 October 2021 / Revised: 7 January 2022 / Accepted: 13 January 2022 / Published: 17 January 2022
(This article belongs to the Section I: Energy Fundamentals and Conversion)
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Abstract

The gains of PI controllers, used in the cascaded speed control of synchronous reluctance motors (SynRMs), are synthesized using quantitative feedback theory (QFT). A systematic design approach is employed to quantitatively determine the PI controller gains in terms of speed and current loops, using a mathematical model of the SynRM. Further, to make the QFT design a more transparent method, an analytical procedure using the frequency domain is attempted to design the QFT bounds as well as the initial search space of the optimization algorithm used in automatic loop shaping. The effectiveness of the proposed PI tuning method is verified with the extensive MATLAB/Simulink simulation environment. The results illustrate the supremacy of the proposed PI tuning method, in terms of control performance, over the conventional PI tuning method, using the analytical procedure.
Keywords: FPA optimization; gain margin; phase margin; PI controller; quantitative feedback theory; speed control; synchronous reluctance motor FPA optimization; gain margin; phase margin; PI controller; quantitative feedback theory; speed control; synchronous reluctance motor
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MDPI and ACS Style

Poola, R.; Hanamoto, T. Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications. Energies 2022, 15, 642. https://doi.org/10.3390/en15020642

AMA Style

Poola R, Hanamoto T. Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications. Energies. 2022; 15(2):642. https://doi.org/10.3390/en15020642

Chicago/Turabian Style

Poola, Rajesh, and Tsuyoshi Hanamoto. 2022. "Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications" Energies 15, no. 2: 642. https://doi.org/10.3390/en15020642

APA Style

Poola, R., & Hanamoto, T. (2022). Automated QFT-Based PI Tuning for Speed Control of SynRM Drive with Analytical Selection of QFT Control Specifications. Energies, 15(2), 642. https://doi.org/10.3390/en15020642

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