IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i21p6906-d661326.html
   My bibliography  Save this article

Port-Hamiltonian Mathematical Model of a Fluid Ring Attitude System

Author

Listed:
  • Juan Cristobal Alcaraz Tapia

    (Ciencias Exactas y Tecnología, Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno 47460, Jalisco, Mexico
    These authors contributed equally to this work.)

  • Carlos E. Castañeda

    (Ciencias Exactas y Tecnología, Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno 47460, Jalisco, Mexico
    These authors contributed equally to this work.)

  • Héctor Vargas-Rodríguez

    (Ciencias Exactas y Tecnología, Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno 47460, Jalisco, Mexico
    These authors contributed equally to this work.)

Abstract

In this article, we propose a mathematical model using the port-Hamiltonian formalism for a satellite’s three-axis attitude system comprising fluid rings. Fluid rings are an alternative to reaction wheels used for the same purpose, since, for the same mass, they can exert a greater torque than a reaction wheel as the fluid can circulate the periphery of the satellite. The port-Hamiltonian representation lays the foundation for a posterior controller that is feasible, stable, and robust based on the interconnection of the system to energy shaping and/or damping injection components, and by adding energy routing controllers. The torques exerted by the fluid rings are modeled using linear regression analysis on the experimental data got from a prototype of a fluid ring. Since the dynamics of turbulent flows is complex, the torques obtained by the prototype lead to a simpler first approach, leaving its uncertainties to a controller. Thus, the attitude system model could be tested in a future prototype before considering a spatial environment.

Suggested Citation

  • Juan Cristobal Alcaraz Tapia & Carlos E. Castañeda & Héctor Vargas-Rodríguez, 2021. "Port-Hamiltonian Mathematical Model of a Fluid Ring Attitude System," Energies, MDPI, vol. 14(21), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6906-:d:661326
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/21/6906/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/21/6906/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Chuan & Shi, Weidong & Wang, Xikun & Jiang, Xiaoping & Yang, Yang & Li, Wei & Zhou, Ling, 2017. "Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics," Applied Energy, Elsevier, vol. 187(C), pages 10-26.
    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. Jia Li & Xin Wang & Yue Wang & Wancheng Wang & Baibing Chen & Xiaolong Chen, 2020. "Effects of a Combination Impeller on the Flow Field and External Performance of an Aero-Fuel Centrifugal Pump," Energies, MDPI, vol. 13(4), pages 1-16, February.
    2. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan & Yao, Baofeng, 2023. "Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions," Energy, Elsevier, vol. 263(PA).
    3. Federico Fontana & Massimo Masi, 2023. "A Hybrid Experimental-Numerical Method to Support the Design of Multistage Pumps," Energies, MDPI, vol. 16(12), pages 1-20, June.
    4. Sonawat, Arihant & Kim, Sung & Ma, Sang-Bum & Kim, Seung-Jun & Lee, Ju Beak & Yu, Myo Suk & Kim, Jin-Hyuk, 2022. "Investigation of unsteady pressure fluctuations and methods for its suppression for a double suction centrifugal pump," Energy, Elsevier, vol. 252(C).
    5. Zhou, Ling & Hang, Jianwei & Bai, Ling & Krzemianowski, Zbigniew & El-Emam, Mahmoud A. & Yasser, Eman & Agarwal, Ramesh, 2022. "Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review," Applied Energy, Elsevier, vol. 318(C).
    6. Wang, Zhiyuan & Qian, Zhongdong & Lu, Jie & Wu, Pengfei, 2019. "Effects of flow rate and rotational speed on pressure fluctuations in a double-suction centrifugal pump," Energy, Elsevier, vol. 170(C), pages 212-227.
    7. Yuquan Zhang & Yanhe Xu & Yuan Zheng & E. Fernandez-Rodriguez & Aoran Sun & Chunxia Yang & Jue Wang, 2019. "Multiobjective Optimization Design and Experimental Investigation on the Axial Flow Pump with Orthogonal Test Approach," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    8. Abdelilah Hilali & Najib El Ouanjli & Said Mahfoud & Ameena Saad Al-Sumaiti & Mahmoud A. Mossa, 2022. "Optimization of a Solar Water Pumping System in Varying Weather Conditions by a New Hybrid Method Based on Fuzzy Logic and Incremental Conductance," Energies, MDPI, vol. 15(22), pages 1-21, November.
    9. Chen, Weisheng & Li, Yaojun & Liu, Zhuqing & Hong, Yiping, 2023. "Understanding of energy conversion and losses in a centrifugal pump impeller," Energy, Elsevier, vol. 263(PB).
    10. Wang, Tao & Kong, Fanyu & Xia, Bin & Bai, Yuxing & Wang, Chuan, 2017. "The method for determining blade inlet angle of special impeller using in turbine mode of centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 109(C), pages 518-528.
    11. Lijian Shi & Jun Zhu & Fangping Tang & Chuan Wang, 2020. "Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model," Energies, MDPI, vol. 13(4), pages 1-19, February.
    12. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yang, Anren & Yan, Yinlian & Pan, Yachao & Wang, Yan, 2023. "Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment," Energy, Elsevier, vol. 275(C).
    13. Wang, Tao & Wang, Chuan & Kong, Fanyu & Gou, Qiuqin & Yang, Sunsheng, 2017. "Theoretical, experimental, and numerical study of special impeller used in turbine mode of centrifugal pump as turbine," Energy, Elsevier, vol. 130(C), pages 473-485.
    14. Shi, Lijian & Yuan, Yao & Jiao, Haifeng & Tang, Fangping & Cheng, Li & Yang, Fan & Jin, Yan & Zhu, Jun, 2021. "Numerical investigation and experiment on pressure pulsation characteristics in a full tubular pump," Renewable Energy, Elsevier, vol. 163(C), pages 987-1000.
    15. Li, Xiaojun & Chen, Bo & Luo, Xianwu & Zhu, Zuchao, 2020. "Effects of flow pattern on hydraulic performance and energy conversion characterisation in a centrifugal pump," Renewable Energy, Elsevier, vol. 151(C), pages 475-487.
    16. Hongliang Wang & Bing Long & Chuan Wang & Chen Han & Linjian Li, 2020. "Effects of the Impeller Blade with a Slot Structure on the Centrifugal Pump Performance," Energies, MDPI, vol. 13(7), pages 1-17, April.
    17. Zhang, Di & Jiao, Weixuan & Cheng, Li & Xia, Chenzhi & Zhang, Bowen & Luo, Can & Wang, Chuan, 2021. "Experimental study on the evolution process of the roof-attached vortex of the closed sump," Renewable Energy, Elsevier, vol. 164(C), pages 1029-1038.
    18. Song, Xijie & Liu, Chao, 2021. "Experimental study of the floor-attached vortices in pump sump using V3V," Renewable Energy, Elsevier, vol. 164(C), pages 752-766.
    19. Zhang, Ning & Jiang, Junxian & Gao, Bo & Liu, Xiaokai & Ni, Dan, 2020. "Numerical analysis of the vortical structure and its unsteady evolution of a centrifugal pump," Renewable Energy, Elsevier, vol. 155(C), pages 748-760.
    20. Fatigati, Fabio & Di Bartolomeo, Marco & Cipollone, Roberto, 2022. "Development and experimental assessment of a Low Speed Sliding Rotary Vane Pump for heavy duty engine cooling systems," Applied Energy, Elsevier, vol. 327(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:gam:jeners:v:14:y:2021:i:21:p:6906-:d:661326. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.