Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System

doi:10.1155/2022/7953358

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Optimal Tracking Control for a Discrete Time Nonlinear Nuclear Power System
	Luan, Zhenhua 1,2; Wang, Mengxuan 3; Zhang, Yuzhen4 ; Wei, Qinglai4 ; Zhou, Tianmin 4; Guo, Zhiwu 1; Ling, Jun 5
发表期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN	1024-123X
	2022-06-22
卷号	2022 页码:9
通讯作者	Zhang, Yuzhen(zhangyuzhen@ia.ac.cn)
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.
DOI	10.1155/2022/7953358
关键词[WOS]	PREDICTIVE CONTROL ; DESIGN
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000823248300006
出版者	HINDAWI LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51088
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Zhang, Yuzhen
作者单位	1.China Nucl Power Engn Co Ltd, State Key Lab Nucl Power Safety Monitoring Technol, Shenzhen 518172, Guangdong, Peoples R China 2.Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China 3.Harbin Univ Sci & Technol, Harbin, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Shenzhen Urban Publ Safety & Technol Inst, Shenzhen 518046, Guangdong, Peoples R China
通讯作者单位	中国科学院自动化研究所
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.