The Proportional-Integral-Derivative (PID) control technique, with advantages such as simple design and fast response, is widely applied in the maritime industry. However, determining the parameters \({K}_{P}\) , \({K}_{I}\) , and \({K}_{D}\) using traditional methods often fails to achieve optimal results due to the influence of noise and errors in measurement. This paper proposes a Genetic Algorithm (GA) to optimize the PID controller parameters, named GA-PID controller, for the Automatic Voltage Regulator (AVR) of marine synchronous generators. The effectiveness of the proposed controller is demonstrated through simulations and comparisons with algorithms such as PID, and Fuzzy-PID (F-PID) under various generator operating modes. Furthermore, the AVR stability is assessed by using a Bode diagram and Root locus to verify the quality of the proposed solution.

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Control Parameter Optimization of the Automatic Voltage Regulator for Marine Synchronous Generator Based on Genetic Algorithm

  • Xuan-Kien Dang,
  • Tien-Diem Nguyen,
  • Viet-Dung Do,
  • Ngoc-Truc Nguyen

摘要

The Proportional-Integral-Derivative (PID) control technique, with advantages such as simple design and fast response, is widely applied in the maritime industry. However, determining the parameters \({K}_{P}\) , \({K}_{I}\) , and \({K}_{D}\) using traditional methods often fails to achieve optimal results due to the influence of noise and errors in measurement. This paper proposes a Genetic Algorithm (GA) to optimize the PID controller parameters, named GA-PID controller, for the Automatic Voltage Regulator (AVR) of marine synchronous generators. The effectiveness of the proposed controller is demonstrated through simulations and comparisons with algorithms such as PID, and Fuzzy-PID (F-PID) under various generator operating modes. Furthermore, the AVR stability is assessed by using a Bode diagram and Root locus to verify the quality of the proposed solution.