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11 September 2023 Research on parameter optimization of damping controller based on fuzzy control algorithm
Yamin Fang, Jinyang Huang
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127792W (2023) https://doi.org/10.1117/12.2689774
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
The system response caused by large power disturbance includes large deviation of generator rotor angle. Its stability depends on the initial operating conditions and the severity of disturbance. Fuzzy control is an attractive new control method and technology in the control field. This paper mainly takes PSS (Power System Stabilizer) as the research object to study the method of parameter optimization of damping controller. Fuzzy control algorithm is used to optimize and improve the control parameters of PID control algorithm, which makes the optimized PID algorithm more suitable for vibration control of PSS. Its core idea is to use fuzzy control algorithm to optimize and update the control parameters of PID algorithm in real time, overcome the limitations of PID control algorithm, and make it suitable for PSS vibration control. The simulation results show that the power system's ability to suppress low-frequency oscillation is significantly enhanced by adopting PID controller optimized by fuzzy control algorithm.
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Yamin Fang and Jinyang Huang "Research on parameter optimization of damping controller based on fuzzy control algorithm", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127792W (11 September 2023); https://doi.org/10.1117/12.2689774
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KEYWORDS
Fuzzy logic
Mathematical optimization
Control systems
Detection and tracking algorithms
Quantization
Vibration control
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