IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v296y2024ics0360544224009502.html
   My bibliography  Save this article

Dual design of control law and switching law for turbofan systems under multiple disturbances

Author

Listed:
  • Tang, Li
  • Liu, Wei
  • Liu, Yan-Jun

Abstract

In this paper, an anti-disturbance output tracking control strategy is proposed for turbofan systems with multiple disturbances. The considered turbofan models are described by switched systems. For the unmeasured disturbances, a disturbance observer is designed. Then, the observer-based controller is proposed such that the system output tracks the desired signal and multiple disturbances are successfully suppressed. Applying the multiple Lyapunov functions method, the stability of the closed-loop system with H∞ control performance is analyzed and proved. Finally, a simulation example of turbofan system is presented to illustrate the effectiveness of the proposed method.

Suggested Citation

  • Tang, Li & Liu, Wei & Liu, Yan-Jun, 2024. "Dual design of control law and switching law for turbofan systems under multiple disturbances," Energy, Elsevier, vol. 296(C).
    • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224009502
    DOI: 10.1016/j.energy.2024.131177
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224009502
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131177?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. Zhang, Anguo & Li, Lulu & Li, Yuanyuan & Lu, Jianquan, 2021. "Finite-time output tracking of probabilistic Boolean control networks," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    2. Penghui Sun & Xi Wang & Shubo Yang & Bei Yang & Huairong Chen & Bin Wang, 2021. "Bumpless Transfer of Uncertain Switched System and Its Application to Turbofan Engines," Energies, MDPI, vol. 14(16), pages 1-21, August.
    3. Ju, Fei & Murgovski, Nikolce & Zhuang, Weichao & Hu, Xiaosong & Song, Ziyou & Wang, Liangmo, 2023. "Predictive energy management with engine switching control for hybrid electric vehicle via ADMM," Energy, Elsevier, vol. 263(PE).
    4. Jia, Xingyun & Zhou, Dengji, 2024. "Multi-variable anti-disturbance controller with state-dependent switching law for adaptive cycle engine," Energy, Elsevier, vol. 288(C).
    5. Tona, Cesare & Raviolo, Paolo Antonio & Pellegrini, Luiz Felipe & de Oliveira Júnior, Silvio, 2010. "Exergy and thermoeconomic analysis of a turbofan engine during a typical commercial flight," Energy, Elsevier, vol. 35(2), pages 952-959.
    6. Deng, Xiaofei & Yang, Jian & Sun, Yao & Song, Dongran & Xiang, Xiaoyan & Ge, Xiaohai & Joo, Young Hoon, 2019. "Sensorless effective wind speed estimation method based on unknown input disturbance observer and extreme learning machine," Energy, Elsevier, vol. 186(C).
    7. Esmaeili, Mohammad & Moradi, Hamed, 2023. "Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem," Energy, Elsevier, vol. 282(C).
    8. Gao, Yuxuan & Zhao, Ying & Liu, Yu & Pan, Zhuo-Rui & Wang, Rui, 2023. "Output tracking anti-disturbance control for turbofan systems," Applied Mathematics and Computation, Elsevier, vol. 456(C).
    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. Aygun, Hakan & Turan, Onder, 2021. "Exergo-economic analysis of off-design a target drone engine for reconnaissance mission flight," Energy, Elsevier, vol. 224(C).
    2. Atilgan, Ramazan & Onder Turan,, 2020. "Economy and exergy of aircraft turboprop engine at dynamic loads," Energy, Elsevier, vol. 213(C).
    3. Chen, Peng & Han, Dezhi, 2022. "Effective wind speed estimation study of the wind turbine based on deep learning," Energy, Elsevier, vol. 247(C).
    4. Bashir, Hassan & Sibtain, Muhammad & Hanay, Özge & Azam, Muhammad Imran & Qurat-ul-Ain, & Saleem, Snoober, 2023. "Decomposition and Harris hawks optimized multivariate wind speed forecasting utilizing sequence2sequence-based spatiotemporal attention," Energy, Elsevier, vol. 278(PB).
    5. Akdeniz, Halil Yalcin, 2022. "Landing and take-off (LTO) flight phase performances of various piston-prop aviation engines in terms of energy, exergy, irreversibility, aviation, sustainability and environmental viewpoints," Energy, Elsevier, vol. 243(C).
    6. Kim, Sangjo & Son, Changmin & Kim, Kuisoon, 2017. "Combining effect of optimized axial compressor variable guide vanes and bleed air on the thermodynamic performance of aircraft engine system," Energy, Elsevier, vol. 119(C), pages 199-210.
    7. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    8. Ekici, Selcuk, 2020. "Investigating routes performance of flight profile generated based on the off-design point: Elaboration of commercial aircraft-engine pairing," Energy, Elsevier, vol. 193(C).
    9. Şöhret, Yasin & Dinç, Ali & Karakoç, T. Hikmet, 2015. "Exergy analysis of a turbofan engine for an unmanned aerial vehicle during a surveillance mission," Energy, Elsevier, vol. 93(P1), pages 716-729.
    10. Şöhret, Yasin & Açıkkalp, Emin & Hepbasli, Arif & Karakoc, T. Hikmet, 2015. "Advanced exergy analysis of an aircraft gas turbine engine: Splitting exergy destructions into parts," Energy, Elsevier, vol. 90(P2), pages 1219-1228.
    11. Yao, Zhi-Min & Qian, Zuo-Qin & Li, Rong & Hu, Eric, 2019. "Energy efficiency analysis of marine high-powered medium-speed diesel engine base on energy balance and exergy," Energy, Elsevier, vol. 176(C), pages 991-1006.
    12. Zhang, Hao & Lei, Nuo & Liu, Shang & Fan, Qinhao & Wang, Zhi, 2023. "Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles," Energy, Elsevier, vol. 283(C).
    13. Korba, Peter & Balli, Ozgur & Caliskan, Hakan & Al-Rabeei, Samer & Kale, Utku, 2023. "Energy, exergy, economic, environmental, and sustainability assessments of the CFM56-3 series turbofan engine used in the aviation sector," Energy, Elsevier, vol. 269(C).
    14. Chen, Guanpeng & Jiang, Yue & Tang, Yuanjiang & Xu, Xiaojun, 2023. "Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control," Energy, Elsevier, vol. 264(C).
    15. Hassan, H.Z., 2013. "Evaluation of the local exergy destruction in the intake and fan of a turbofan engine," Energy, Elsevier, vol. 63(C), pages 245-251.
    16. Fernández-Villacé, Víctor & Paniagua, Guillermo, 2013. "On the exergetic effectiveness of combined-cycle engines for high speed propulsion," Energy, Elsevier, vol. 51(C), pages 382-394.
    17. Golnary, Farshad & Tse, K.T., 2021. "Novel sensorless fault-tolerant pitch control of a horizontal axis wind turbine with a new hybrid approach for effective wind velocity estimation," Renewable Energy, Elsevier, vol. 179(C), pages 1291-1315.
    18. Ekici, Selcuk, 2020. "Thermodynamic mapping of A321-200 in terms of performance parameters, sustainability indicators and thermo-ecological performance at various flight phases," Energy, Elsevier, vol. 202(C).
    19. Song, Dongran & Liu, Junbo & Yang, Yinggang & Yang, Jian & Su, Mei & Wang, Yun & Gui, Ning & Yang, Xuebing & Huang, Lingxiang & Hoon Joo, Young, 2021. "Maximum wind energy extraction of large-scale wind turbines using nonlinear model predictive control via Yin-Yang grey wolf optimization algorithm," Energy, Elsevier, vol. 221(C).
    20. Pan, Lin & Xiong, Yong & Zhu, Ze & Wang, Leichong, 2022. "Research on variable pitch control strategy of direct-driven offshore wind turbine using KELM wind speed soft sensor," Renewable Energy, Elsevier, vol. 184(C), pages 1002-1017.

    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:296:y:2024:i:c:s0360544224009502. 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.