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

Synchronous Motor Excitation System Particle Swarm Optimization PSO Fuzzy Logic Controller.

Authors

  • Hung Quoc Duong Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,, Viet Nam
  • Quang Hong Nguyen Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,, Viet Nam http://orcid.org/0000-0002-0433-3094
  • Duy Tien Nguyen Thai Nguyen University of Technology (TNUT), Thai Nguyen city, Thai Nguyen 251750,, Viet Nam
  • Lanh Van Nguyen
    vanlanh.nguyen@uts.edu.au
    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,, Australia

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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

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