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Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System

文献类型：期刊论文

作者Luan, Zhenhua4,5; Wang, Mengxuan3; Zhang, Yuzhen2; Wei, Qinglai2; Zhou, Tianmin2; Guo, Zhiwu5; Ling, Jun1
刊名MATHEMATICAL PROBLEMS IN ENGINEERING
出版日期2022-06-22
卷号2022页码:9
ISSN号1024-123X
DOI10.1155/2022/7953358
通讯作者Zhang, Yuzhen(zhangyuzhen@ia.ac.cn)
英文摘要Recently, increasing attention has been paid to nuclear power control with the appeals of clean energy and demands of power regulation to integrate into the power grid. However, a nuclear power system is a discrete-time (DT) nonlinear and complicated system, where the parameters entangle with intrinsic states. Furthermore, the need for huge computational ability due to the high-level order property in the nuclear reactor model causes many difficulties in the power control of nuclear industries. In this study, a new scheme of optimal tracking control for DT nonlinear nuclear power systems is provided to accomplish the power control of a 2500-MW pressurized water reactor (PWR) nuclear power plant. The proposed approach based on the value iteration method is a novel algorithm in the human intelligence community, which has a basic actor-critic structure with neural networks (NNs). The new approach has some modifications, where the cost function is redefined by leveraging the higher-order polynomial to substitute neural networks in the entire actor critic architecture. Simulation results of the 2500-MW PWR nuclear power plant are given to demonstrate the effectiveness of the developed method.
WOS关键词PREDICTIVE CONTROL ; DESIGN
资助项目Open Project Program of State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment[K-A2020.406] ; National Key R&D Program of China[2021YFE0206100] ; National Natural Science Foundation of China[62073321] ; National Defense Basic Scientific Research Program[JCKY2019203C029] ; Science andTechnology Development Fund, Macau SAR[0015/2020/AMJ]
WOS研究方向Engineering ; Mathematics
语种英语
WOS记录号WOS:000823248300006
出版者HINDAWI LTD
资助机构Open Project Program of State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Defense Basic Scientific Research Program ; Science andTechnology Development Fund, Macau SAR
源URL[http://ir.ia.ac.cn/handle/173211/51087]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者Zhang, Yuzhen
作者单位1.Shenzhen Urban Publ Safety & Technol Inst, Shenzhen 518046, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Harbin Univ Sci & Technol, Harbin, Peoples R China
4.Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
5.China Nucl Power Engn Co Ltd, State Key Lab Nucl Power Safety Monitoring Technol, Shenzhen 518172, Guangdong, Peoples R China
推荐引用方式
GB/T 7714		 Luan, Zhenhua,Wang, Mengxuan,Zhang, Yuzhen,et al. Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2022,2022:9.
APA Luan, Zhenhua.,Wang, Mengxuan.,Zhang, Yuzhen.,Wei, Qinglai.,Zhou, Tianmin.,...&Ling, Jun.(2022).Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System.MATHEMATICAL PROBLEMS IN ENGINEERING,2022,9.
MLA Luan, Zhenhua,et al."Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System".MATHEMATICAL PROBLEMS IN ENGINEERING 2022(2022):9.

入库方式： OAI收割

来源：自动化研究所

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