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Lanh Van Nguyen
1) Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750, Vietnam. 2) University of Technology Sydney (UTS), 15 Broadway, Ultimo NSW 2007,
Environmental Science

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Journal : Emerging Science Journal

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PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor Hung Quoc Duong; Quang Hong Nguyen; Duy Tien Nguyen; Lanh Van Nguyen
Emerging Science Journal Vol 6, No 2 (2022): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-02-01

Abstract

This paper proposes a hybrid control system integrating a PID controller and a fuzzy logic controller, using the particle swarm optimization (PSO) algorithm to optimize control parameters. The control object is an excitation system for a large synchronous motor, which is widely used in large power transmission systems. In practice, the change in load and excitation source can affect the operating mode of the motor. Therefore, a hybrid controller is designed to stabilize the power factor, resulting in better working performance. In the control algorithm, a PID controller is initially designed using PSO to optimize the control coefficients. The FLC-Sugeno control is then integrated with the PID, in which PSO is utilized to optimize membership functions. Numerical simulation results demonstrate the advantages of the proposed approach. Doi: 10.28991/ESJ-2022-06-02-01 Full Text: PDF
Co-Authors Duy Tien Nguyen Hung Quoc Duong Quang Hong Nguyen