Research on Integrated Reactor Power Control System Based on Intelligent Prediction

Zhao Mengwei; Chen Zhi; Liao Longtao; Li Yiliang; Huang Ke

Volume 40 Issue 4

Aug. 2019

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Article Navigation > Nuclear Power Engineering > 2019 > 40(4): 166-171

Zhao Mengwei, Chen Zhi, Liao Longtao, Li Yiliang, Huang Ke. Research on Integrated Reactor Power Control System Based on Intelligent Prediction[J]. Nuclear Power Engineering, 2019, 40(4): 166-171.

Citation:

Zhao Mengwei, Chen Zhi, Liao Longtao, Li Yiliang, Huang Ke. Research on Integrated Reactor Power Control System Based on Intelligent Prediction[J]. Nuclear Power Engineering, 2019, 40(4): 166-171.

Zhao Mengwei, Chen Zhi, Liao Longtao, Li Yiliang, Huang Ke. Research on Integrated Reactor Power Control System Based on Intelligent Prediction[J]. Nuclear Power Engineering, 2019, 40(4): 166-171.

Citation:

Zhao Mengwei, Chen Zhi, Liao Longtao, Li Yiliang, Huang Ke. Research on Integrated Reactor Power Control System Based on Intelligent Prediction[J]. Nuclear Power Engineering, 2019, 40(4): 166-171.

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Research on Integrated Reactor Power Control System Based on Intelligent Prediction

Publish Date: 2019-08-15

Abstract

Abstract

In order to improve the control performance of proportional-integral(PI) control, an one-step prediction power controller is proposed based on online T-S fuzzy identification and particle swarm optimization algorithm. The simulation results show that the method is better than the original PI control in regulating response speed, overshoot and so on.
- Predictive control,
- Nuclear reactor,
- Power control,
- Fuzzy identification,
- Particle swarm optimization algorithm

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