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Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system

文献类型：期刊论文

作者Li, Jin-Yang1,4,5; Dai, Yong4,6; Gu, Long1,3,4; Zhang, You-Peng2; He, Zhi-Yong4; Xu, Hu-Shan1,4,5; Yao, Cun-Feng4; Yu, Rui1,4; Zhang, Lu4; Wang, Da-Wei3,4
刊名ANNALS OF NUCLEAR ENERGY
出版日期2021-05-01
卷号154页码:8
关键词Spallation target ADS Temperature control PID controller Genetic algorithm
ISSN号0306-4549
DOI10.1016/j.anucene.2021.108127
通讯作者Gu, Long(gulong@impcas.ac.cn)
英文摘要The DGT (Dense Granular spallation Target) is the crucial component in CiADS (China initiative Accelerator Driven subcritical System), which is the important device in connecting the high power accelerator and the subcritical reactor. In order to keep the stable and reliable running of the coupling system, the temperature control of the DGT should be carefully studied and optimized, where the gravity driven tungsten alloy granules are considered as the spallation target material and the corresponding coolant, and the working temperature in normal operation condition should be controlled around the pre-setting value without bringing the large perturbation. Two kinds of control approaches have been adopted in this research in adjusting the temperature inside the DGT, which are the intensity of proton beam and the flow speed of tungsten alloy granules. Therefore, the simulation method and the PID (Proportional Integral Derivative) controller have been established based on the cooperation of two approaches in order to better adapt to the temperature control of the DGT. Moreover, the genetic algorithm has been employed to select and optimize the key parameters in PID controller for the purpose of substituting the experiential selection in traditional manually iterative process. Finally, the temperature control system has been evaluated based on the reference control scenarios, and all the simulation results demonstrate that the optimized method has applicability and feasibility in the temperature control of the spallation target system. (C) 2021 Elsevier Ltd. All rights reserved.
资助项目[E023351Y] ; [Y9391601] ; [2020YFB1902100]
WOS研究方向Nuclear Science & Technology
语种英语
WOS记录号WOS:000635535400040
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.186/handle/113462/137619]  
专题中国科学院近代物理研究所
通讯作者Gu, Long
作者单位1.Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China
2.Fudan Univ, Inst Modern Phys, Shanghai 200433, Peoples R China
3.Lanzhou Univ, Sch Nucl Sci & Technol, Lanzhou 730000, Peoples R China
4.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China
5.Adv Energy Sci & Technol Guangdong Lab, Huizhou 516002, Peoples R China
6.Paul Scherrer Inst, CH-5232 Villigen, Switzerland
推荐引用方式
GB/T 7714		 Li, Jin-Yang,Dai, Yong,Gu, Long,et al. Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system[J]. ANNALS OF NUCLEAR ENERGY,2021,154:8.
APA Li, Jin-Yang.,Dai, Yong.,Gu, Long.,Zhang, You-Peng.,He, Zhi-Yong.,...&Wang, Da-Wei.(2021).Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system.ANNALS OF NUCLEAR ENERGY,154,8.
MLA Li, Jin-Yang,et al."Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system".ANNALS OF NUCLEAR ENERGY 154(2021):8.

入库方式： OAI收割

来源：近代物理研究所

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