TY  - JOUR
AB  - 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.
AU  - Duong, HQ
AU  - Nguyen, QH
AU  - Nguyen, DT
AU  - Van Nguyen, L
DA  - 2022/04/01
DO  - 10.28991/ESJ-2022-06-02-01
EP  - 216
JO  - Emerging Science Journal
PB  - Ital Publication
PY  - 2022/04/01
SP  - 201
TI  - PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor
VL  - 6
Y1  - 2022/04/01
Y2  - 2026/06/11
ER  -