PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor

Hung Quoc Duong (Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,)
Quang Hong Nguyen (Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,)
Duy Tien Nguyen (Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,)
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,)

Emerging Science Journal
Vol 6, No 2 (2022): April

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