IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v280y2023ics0360544223014962.html
   My bibliography  Save this article

Interval type-2 fuzzy logic control for a space nuclear reactor core power system

Author

Listed:
  • Zhao, Chengxuan
  • Yang, Xiao
  • Yu, Jie
  • Yang, Minghan
  • Wang, Jianye
  • Chen, Shuai

Abstract

The uncertain environment and delayed communications bring great challenges for the space nuclear reactor core power control. The imprecise knowledge about nonlinear and time varying parameters of the reactor make the problem further difficult. In this work, an anti-interference method is proposed for the core power control of space reactors. A new core power controller is designed to compensate the power deviation caused by model uncertainties and external disturbances. To further approximate nonlinear mapping functions between the control drum angle position and the deviation of the reactor core power, an interval type-2 fuzzy logic system is employed to deduce the correction of control drum angle position for its general approximation ability. Moreover, in order to solve control difficulties caused by physical constraints of the control drum and high stability requirements of the core power control system, an optimized iteration algorithm is proposed to ensure convergence to the optimal solution. A 1MWe space nuclear reactor is used as a reference object to carry out the research and verification of the newly proposed power control scheme. The numerical results verify the feasibility of the novel controller and show that load tracking performance of the system can be realized effectively.

Suggested Citation

  • Zhao, Chengxuan & Yang, Xiao & Yu, Jie & Yang, Minghan & Wang, Jianye & Chen, Shuai, 2023. "Interval type-2 fuzzy logic control for a space nuclear reactor core power system," Energy, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:energy:v:280:y:2023:i:c:s0360544223014962
    DOI: 10.1016/j.energy.2023.128102
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223014962
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128102?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    2. Rezk, Hegazy & Aly, Mokhtar & Fathy, Ahmed, 2021. "A novel strategy based on recent equilibrium optimizer to enhance the performance of PEM fuel cell system through optimized fuzzy logic MPPT," Energy, Elsevier, vol. 234(C).
    3. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    4. Dong, Zhe & Pan, Yifei, 2018. "A lumped-parameter dynamical model of a nuclear heating reactor cogeneration plant," Energy, Elsevier, vol. 145(C), pages 638-656.
    5. Zahedi, R. & Ardehali, M.M., 2020. "Power management for storage mechanisms including battery, supercapacitor, and hydrogen of autonomous hybrid green power system utilizing multiple optimally-designed fuzzy logic controllers," Energy, Elsevier, vol. 204(C).
    6. Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Heidari Gandoman, Foad & Nowdeh, Saber Arabi & Shiran, Mohsen Aghazadeh & Hadidian Moghaddam, Mohammad Jafar & Davoodkhani, Iraj Faraji, 2020. "Optimal designing of static var compensator to improve voltage profile of power system using fuzzy logic control," Energy, Elsevier, vol. 192(C).
    7. Sun, Qi-qi & Zhang, Hao-chun & Sun, Zi-jian & Xia, Yan, 2023. "Thermodynamic analysis of potassium Rankine cycle in space nuclear power by energy analysis and exergy analysis," Energy, Elsevier, vol. 273(C).
    8. Xu, Chi & Kong, Fanli & Yu, Dali & Yu, Jie & Khan, Muhammad Salman, 2021. "Influence of non-ideal gas characteristics on working fluid properties and thermal cycle of space nuclear power generation system," Energy, Elsevier, vol. 222(C).
    9. Wu, Yunna & Xu, Chuanbo & Zhang, Buyuan & Tao, Yao & Li, Xinying & Chu, Han & Liu, Fangtong, 2019. "Sustainability performance assessment of wind power coupling hydrogen storage projects using a hybrid evaluation technique based on interval type-2 fuzzy set," Energy, Elsevier, vol. 179(C), pages 1176-1190.
    10. Miao, Xinyu & Zhang, Haochun & Sun, Wenbo & Wang, Qi & Zhang, Chenxu, 2022. "Optimization of a recompression supercritical nitrous oxide and helium Brayton cycle for space nuclear system," Energy, Elsevier, vol. 242(C).
    11. Kim, Hyungjin & Park, Chul & Kwon, Oh Joon, 2016. "Conceptual design of the space disposal system for the highly radioactive component of the nuclear waste," Energy, Elsevier, vol. 115(P1), pages 155-168.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    2. Liu, Zekuan & Wang, Zixuan & Cheng, Kunlin & Wang, Cong & Ha, Chan & Fei, Teng & Qin, Jiang, 2023. "Performance assessment of closed Brayton cycle-organic Rankine cycle lunar base energy system: Thermodynamic analysis, multi-objective optimization," Energy, Elsevier, vol. 278(PA).
    3. Shuxia Yang & Shengjiang Peng & Xianzhang Ling, 2021. "Discussion on the Feasibility of the Integration of Wind Power and Coal Chemical Industries for Hydrogen Production," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    4. Zhe Dong & Miao Liu & Di Jiang & Xiaojin Huang & Yajun Zhang & Zuoyi Zhang, 2018. "Automatic Generation Control of Nuclear Heating Reactor Power Plants," Energies, MDPI, vol. 11(10), pages 1-18, October.
    5. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    6. Lin Li & Tiezhu Zhang & Kaiwei Wu & Liqun Lu & Lianhua Lin & Haigang Xu, 2022. "Design and Research on Electro-Hydraulic Drive and Energy Recovery System of the Electric Excavator Boom," Energies, MDPI, vol. 15(13), pages 1-17, June.
    7. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    8. Dounia El Bourakadi & Hiba Ramadan & Ali Yahyaouy & Jaouad Boumhidi, 2023. "A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller," Fuzzy Optimization and Decision Making, Springer, vol. 22(4), pages 645-667, December.
    9. Grzegorz Filo, 2023. "Artificial Intelligence Methods in Hydraulic System Design," Energies, MDPI, vol. 16(8), pages 1-19, April.
    10. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    11. Sofia Laraib & Noshabah Tabassum & Shakira Mukhtar, 2018. "Current Practices And Efficacy Of Improvements In Radioactive Management System Of Pakistan – A Review," Environmental Contaminants Reviews (ECR), Zibeline International Publishing, vol. 1(2), pages 9-12, June.
    12. Yunlong Zhu & Zhe Dong & Xiaojin Huang & Yujie Dong & Yajun Zhang & Zuoyi Zhang, 2022. "Passivity-Based Power-Level Control of Nuclear Reactors," Energies, MDPI, vol. 15(14), pages 1-11, July.
    13. Dokur, Emrah & Erdogan, Nuh & Salari, Mahdi Ebrahimi & Karakuzu, Cihan & Murphy, Jimmy, 2022. "Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine," Energy, Elsevier, vol. 248(C).
    14. Damien Guilbert & Gianpaolo Vitale, 2021. "Hydrogen as a Clean and Sustainable Energy Vector for Global Transition from Fossil-Based to Zero-Carbon," Clean Technol., MDPI, vol. 3(4), pages 1-29, December.
    15. Huijia Yang & Weiguang Fan & Guangyu Qin & Zhenyu Zhao, 2021. "A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project," Energies, MDPI, vol. 14(4), pages 1-17, February.
    16. Xu, Chuanbo & Wu, Yunna & Dai, Shuyu, 2020. "What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach," Energy Policy, Elsevier, vol. 142(C).
    17. Gang Kou & Özlem Olgu Akdeniz & Hasan Dinçer & Serhat Yüksel, 2021. "Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    18. Fathy, Ahmed & Babu, Thanikanti Sudhakar & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Yousri, Dalia, 2022. "Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells," Energy, Elsevier, vol. 248(C).
    19. Chuan Xiang & Qi Cheng & Yizheng Zhu & Hongge Zhao, 2023. "Sliding Mode Control of Ship DC Microgrid Based on an Improved Reaching Law," Energies, MDPI, vol. 16(3), pages 1-14, January.
    20. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:280:y:2023:i:c:s0360544223014962. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.