Research on Adaptive Control Method of Turbine in Nuclear Power Plant based on Fuzzy Neural Network

Zhang Jiacheng; Jiang Guanfu; Wei Xinyu; Sun Peiwei

doi:10.13832/j.jnpe.2024.090061

Volume 46 Issue 5

Oct. 2025

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Zhang Jiacheng, Jiang Guanfu, Wei Xinyu, Sun Peiwei. Research on Adaptive Control Method of Turbine in Nuclear Power Plant based on Fuzzy Neural Network[J]. Nuclear Power Engineering, 2025, 46(5): 267-273. doi: 10.13832/j.jnpe.2024.090061

Citation:

Zhang Jiacheng, Jiang Guanfu, Wei Xinyu, Sun Peiwei. Research on Adaptive Control Method of Turbine in Nuclear Power Plant based on Fuzzy Neural Network[J]. Nuclear Power Engineering, 2025, 46(5): 267-273. doi: 10.13832/j.jnpe.2024.090061

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Research on Adaptive Control Method of Turbine in Nuclear Power Plant based on Fuzzy Neural Network

doi: 10.13832/j.jnpe.2024.090061

Shaanxi Engineering Research Center of Advanced Nuclear Energy, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, Xi’an Jiaotong University, Xi’an, 710049, China

Received Date: 2024-09-18
Rev Recd Date: 2024-11-10

Available Online: 2025-10-15

Publish Date: 2025-10-15

Abstract

Abstract

Aiming at the Digital Electro-Hydraulic (DEH) Control System faults that affect the stable operation of nuclear power plant, this study conducts fault simulation analysis of electro-hydraulic servo valves, oil motors, and displacement sensors in the DEH system. An adaptive control scheme based on a fuzzy neural network (FNN) with fault information adjustment is proposed. The FNN is used to optimize the parameters of the nuclear power plant turbine controller, enabling adaptive adjustments according to changes in actuator characteristics. Simulation results after optimization show that the designed control system has a good control effect on the turbine system both in fault-free and fault-present conditions. Consequently, the FNN adaptive control method proposed in this study can be applied to mitigate DEH system faults and provides valuable reference for the design of automatic turbine control systems in nuclear power plants.
- Digital electro-hydraulic (DEH),
- Fault simulation,
- Adaptive control method,
- Fuzzy neural network (FNN)

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References(11)

References

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