A Fuzzy Controller for Fault Tolerant Control of Nuclear Reactor
A Fuzzy Controller for Fault Tolerant Control of Nuclear Reactor
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DOI：
10.1109/csci.2017.64
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发表时间：
2017-12
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影响因子：
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通讯作者：
M. Wang;Jiamei Deng;C. Pattinson;Suzanne Richardson
中科院分区：
文献类型：
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作者：
M. Wang;Jiamei Deng;C. Pattinson;Suzanne Richardson
本文采用模糊控制方法对核电厂容错方面的人类专家知识进行建模。首先，根据核电厂一回路的压力特征，利用Matlab建立了核电厂反应堆模型。其次，根据专家经验，设计了模糊控制器来控制反应堆模型的压力。第三，在基于模糊控制器的控制过程中，将不同类型的故障：传感器故障、执行器故障和设备故障添加到反应器模型中。最后，使用正常运行和容错测试用例来评估模糊控制器的性能。
In this paper, fuzzy control approaches are used to model human expert knowledge in fault tolerance of nuclear power plant. Firstly, the reactor in a nuclear power plant model was built using Matlab based on pressure features of a primary circuit within a nuclear power plant. Secondly, a fuzzy controller was designed to control pressure of the reactor model based on the expert experience. Thirdly, the different type of faults: sensors faults, actuator faults and plant faults, were added to the reactor model during the control process based on the fuzzy controller. Finally, the performance of the fuzzy controller was evaluated using normal running and fault tolerant test case.