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RBF-based event-triggered fixed-time stable and chattering-free controller for load following of the pressurized water reactor

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成果类型:
期刊论文
作者:
Liu, Hongliang;Zeng, Wenjie;Xie, Jinsen;Luo, Run
通讯作者:
Zeng, WJ
作者机构:
[Liu, Hongliang] Univ South China, Sch Math & Phys, Hengyang 421001, Peoples R China.
[Zeng, Wenjie; Zeng, WJ; Xie, Jinsen] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
[Luo, Run] Univ South China, Sch Resources Environm & Safety Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Zeng, WJ ] U
Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
RBF neural networks;Chattering-free fixed-time stable;Event-triggered mechanism;Load following of PWR
期刊:
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENERGY
ISSN:
1751-4223
年:
2024
卷:
307
页码:
132645
基金类别:
Hunan Natural Science Fund, PR China [2024JJ5320, 2023JJ50122]; National Natural Science Funds of China [12005096]; Scientific Research Foundation of the Education Department of Hunan Province, PR China [22A0307]
机构署名:
本校为第一且通讯机构
院系归属:
核科学技术学院
数理学院
摘要:
Preventing chattering phenomenon in load following control of the Pressurized Water Reactor (PWR) is still a main challenge. This article focuses on the chattering-free and rapid load following control strategy for PWR. Firstly, by proposing a newly adaptive updated law, the Radial Basis Function Neural Networks (RBFNNs) is employed to compensate the unmeasured states of relative delayed neutron precursor density, average fuel temperature and uncertain disturbances simultaneously online. On this basis, a fixed-time stable controller including saturation function is constructed to guarantee tha...

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