Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm

Du Ming; Bian Shujie; Niu Yuguang; Yuan Jinxiao; Chen Rigang

doi:10.13832/j.jnpe.2024.S2.0189

Volume 45 Issue S2

Jan. 2025

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Article Navigation > Nuclear Power Engineering > 2024 > 45(S2): 189-196

Du Ming, Bian Shujie, Niu Yuguang, Yuan Jinxiao, Chen Rigang. Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm[J]. Nuclear Power Engineering, 2024, 45(S2): 189-196. doi: 10.13832/j.jnpe.2024.S2.0189

Citation:

Du Ming, Bian Shujie, Niu Yuguang, Yuan Jinxiao, Chen Rigang. Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm[J]. Nuclear Power Engineering, 2024, 45(S2): 189-196. doi: 10.13832/j.jnpe.2024.S2.0189

Citation:

Du Ming, Bian Shujie, Niu Yuguang, Yuan Jinxiao, Chen Rigang. Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm[J]. Nuclear Power Engineering, 2024, 45(S2): 189-196. doi: 10.13832/j.jnpe.2024.S2.0189

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Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm

doi: 10.13832/j.jnpe.2024.S2.0189

1.
School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China
2.
China Nuclear Power Engineering Co., Ltd., Beijing, 100037, China

Received Date: 2024-06-15
Rev Recd Date: 2024-09-06
Publish Date: 2025-01-06

Abstract

Abstract

Following a steam generator tube rupture (SGTR) accident at a nuclear power plant, the manual adjustment control method is commonly employed, and the adjustment of the safety injection process is one of the difficulties faced by operators. For this process, the main adjustment mechanism and characteristics of the object are analyzed firstly in this paper. Combined with the experience of the operator, the automatic control structure of the safety injection control process is summarized, and the corresponding parameter setting method is designed. The intelligent elements such as adaptive PID, intelligent feedforward and reinforcement learning are integrated, so that the intelligent control strategy of the safety injection control process is innovatively proposed. In order to complete the strategy validation on the M310 full-range simulator developed by a company, this paper first develops the intelligent computing engine, then completed the control strategy configuration on the intelligent computing engine, then completes the control strategy configuration on the intelligent computing engine, and completes the real-time communication of the control signals through the MySQL. Through the simulation and test verification of different breach accidents in the simulator, the intelligent control strategies proposed in this paper are all able to realize the automatic adjustment of the injection control process, the actual cooling rate deviation is 5.89% of the cooling rate set value, the matching effect of the subcooling degree and the regulator level adjustment is good, and the performance is higher than the average of the manipulator's manual execution of the task.
- SGTR,
- LSTM,
- Safety injection control,
- Intelligent control,
- Parameter setting

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References(19)

References

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