IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v268y2023ics0360544223001123.html
   My bibliography  Save this article

Mode transition path optimization for turbine-based combined-cycle ramjet stage under uncertainty propagation of integrated airframe-propulsion system

Author

Listed:
  • Lv, Chengkun
  • Huang, Qian
  • Chang, Juntao
  • Wang, Ziao
  • Zheng, Jialin
  • Yu, Daren

Abstract

This study was conducted in two parts: a characteristic analysis considering the uncertainty propagation in the mode transition of a turbine-based combined cycle (TBCC) engine, and an optimization of the control law for the mode transition. First, the characteristic analysis of the uncertainty propagation was used to determine the main influencing factor s of the input parameters on the output thrust and stability margin. The uncertainty propagations were in the inlet system, including the forebody, inlet splitter, and cowl. The uncertainty perturbation was introduced using a Markov chain Monte Carlo method based on the Metropolis–Hastings algorithm. Then, the optimization of the control law of the TBCC mode transition was studied using a sequential quadratic programming method. It mainly analyzes the optimization in three cases: univariate and single-objective optimization, multi-variable and single-objective optimization, multi-variable, and multi-objective optimization. The results for three settings satisfy the objective of keeping the output thrust relatively constant during the mode transition. In addition, the results without considering perturbation exceed the safety constraint boundary under an actual flight situation. Finally, the optimization process with or without uncertainty propagation is further studied, and it is found that the optimization considering the perturbation can avoid inlet unstart hazard.

Suggested Citation

  • Lv, Chengkun & Huang, Qian & Chang, Juntao & Wang, Ziao & Zheng, Jialin & Yu, Daren, 2023. "Mode transition path optimization for turbine-based combined-cycle ramjet stage under uncertainty propagation of integrated airframe-propulsion system," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223001123
    DOI: 10.1016/j.energy.2023.126718
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223001123
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.126718?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. Lv, Chengkun & Xu, Haiqi & Chang, Juntao & Wang, Youyin & Chen, Ruoyu & Yu, Daren, 2022. "Mode transition analysis of a turbine-based combined-cycle considering ammonia injection pre-compressor cooling and variable-geometry ram-combustor," Energy, Elsevier, vol. 261(PB).
    2. Bakhtiari, Hamed & Zhong, Jin & Alvarez, Manuel, 2021. "Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation," Applied Energy, Elsevier, vol. 290(C).
    3. Wang, Cong & Cheng, Kunlin & Qin, Jiang & Shao, Jiahui & Huang, Hongyan, 2022. "Performance comparison of three chemical precooled turbine engine cycles using methanol and n-decane as the precooling fuels," Energy, Elsevier, vol. 249(C).
    4. Wang, Youyin & Hou, Wenxin & Zhang, Junlong & Tang, Jingfeng & Chang, Juntao & Bao, Wen, 2021. "Research on the operating boundary of the dual mode scramjet with a constant area combustor through thermodynamic cycle analysis," Energy, Elsevier, vol. 216(C).
    5. Zhang, Yuanjian & Liu, Yonggang & Huang, Yanjun & Chen, Zheng & Li, Guang & Hao, Wanming & Cunningham, Geoff & Early, Juliana, 2021. "An optimal control strategy design for plug-in hybrid electric vehicles based on internet of vehicles," Energy, Elsevier, vol. 228(C).
    6. Yang, Chao & Wang, Muyao & Wang, Weida & Pu, Zesong & Ma, Mingyue, 2021. "An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm," Energy, Elsevier, vol. 219(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lv, Chengkun & Huang, Qian & Wang, Ziao & Chang, Juntao & Yu, Daren, 2024. "Mode transition control law analysis of ammonia MIPCC aeroengine considering inlet–compressor safety matching," Energy, Elsevier, vol. 288(C).
    2. Wei, Zhiyuan & Zhang, Shuguang & Ding, Shuiting, 2024. "Fast uncertainty assessment of in-service thrust control for turbofan engines: An equivalent model using Taylor expansion," Energy, Elsevier, vol. 308(C).
    3. Jia, Xingyun & Zhou, Dengji, 2024. "Multi-variable anti-disturbance controller with state-dependent switching law for adaptive cycle engine," Energy, Elsevier, vol. 288(C).
    4. Cai, Changpeng & Zheng, Qiangang & Wang, Yong & Chen, Haoying & Zhang, Haibo, 2024. "Predictive control method for mode transition process of multi-mode turbine engine based on onboard adaptive composite model," Energy, Elsevier, vol. 302(C).

    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. Lv, Chengkun & Lan, Zhu & Chang, Juntao & Yu, Daren, 2024. "Adaptive dynamic programming for ramjet intelligent tracking control via neural network-enhanced equilibrium manifold expansion estimator," Energy, Elsevier, vol. 309(C).
    2. Chen, Haoying & Wang, Yifan & Chen, Sijing & Cai, Changpeng & Zhang, Haibo, 2024. "Performance analysis of the adaptive cycle engine with cooling air: From propulsion performance, thermodynamic efficiency, exergy and infrared characteristics," Energy, Elsevier, vol. 310(C).
    3. Wang, Weida & Chen, Yincong & Yang, Chao & Li, Ying & Xu, Bin & Xiang, Changle, 2022. "An enhanced hypotrochoid spiral optimization algorithm based intertwined optimal sizing and control strategy of a hybrid electric air-ground vehicle," Energy, Elsevier, vol. 257(C).
    4. Gao, Kai & Luo, Pan & Xie, Jin & Chen, Bin & Wu, Yue & Du, Ronghua, 2023. "Energy management of plug-in hybrid electric vehicles based on speed prediction fused driving intention and LIDAR," Energy, Elsevier, vol. 284(C).
    5. Sun, Weijia & Wang, Qi & Ye, Yujian & Tang, Yi, 2022. "Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement," Applied Energy, Elsevier, vol. 305(C).
    6. Songlin Yang & Jingan Feng & Bao Song, 2021. "Research on Decoupled Optimal Control of Straight-Line Driving Stability of Electric Vehicles Driven by Four-Wheel Hub Motors," Energies, MDPI, vol. 14(18), pages 1-25, September.
    7. G., Varathan & J., Belwin Edward, 2024. "A review of uncertainty management approaches for active distribution system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 205(C).
    8. Deng, Li & Chen, Min & Tang, Hailong & Zhang, Jiyuan, 2024. "Performance evaluation of multicombustor engine for Mach3+-Level propulsion system," Energy, Elsevier, vol. 295(C).
    9. Hu, Yusha & Man, Yi, 2023. "Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    10. Jiamao Luo & Shengfang Huang & Shunhua Yang & Wanzhou Zhang & Zhongqiang Mu, 2022. "Effect of Water Injection on Turbine Inlet under Different Flight Conditions," Energies, MDPI, vol. 15(19), pages 1-16, October.
    11. Chen, Yifan & Yang, Liuquan & Yang, Chao & Wang, Weida & Zha, Mingjun & Gao, Pu & Liu, Hui, 2024. "Real-time analytical solution to energy management for hybrid electric vehicles using intelligent driving cycle recognition," Energy, Elsevier, vol. 307(C).
    12. Zhang, Baodi & Chang, Liang & Teng, Teng & Chen, Qifang & Li, Qiangwei & Cao, Yaoguang & Yang, Shichun & Zhang, Xin, 2024. "Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles," Applied Energy, Elsevier, vol. 373(C).
    13. Wang, Wei & He, Miaosheng & Yu, Bin & Chen, Xinwei & Xie, Mingyun & Huang, Xiaobin & Liu, Hong, 2024. "Energy and exergy analyses on the high-pressure bleeding-air variable cycle designed for a wide-speed-range airbreathing propulsion system," Energy, Elsevier, vol. 312(C).
    14. Nie, Zifei & Farzaneh, Hooman, 2022. "Real-time dynamic predictive cruise control for enhancing eco-driving of electric vehicles, considering traffic constraints and signal phase and timing (SPaT) information, using artificial-neural-netw," Energy, Elsevier, vol. 241(C).
    15. Wang, Cong & Feng, Yu & Liu, Zekuan & Wang, Yilin & Fang, Jiwei & Qin, Jiang & Shao, Jiahui & Huang, Hongyan, 2022. "Assessment of thermodynamic performance and CO2 emission reduction for a supersonic precooled turbine engine cycle fueled with a new green fuel of ammonia," Energy, Elsevier, vol. 261(PA).
    16. Li, Xinyu & Cao, Yue & Yan, Fei & Li, Yuzhe & Zhao, Wanlin & Wang, Yue, 2022. "Towards user-friendly energy supplement service considering battery degradation cost," Energy, Elsevier, vol. 249(C).
    17. Lv, Chengkun & Huang, Qian & Lan, Zhu & Chang, Juntao & Yu, Daren, 2023. "Parametric optimization and exergy analysis of a high mach number aeroengine with an ammonia mass injection pre-compressor cooling cycle," Energy, Elsevier, vol. 282(C).
    18. Shi, Dehua & Xu, Han & Wang, Shaohua & Hu, Jia & Chen, Long & Yin, Chunfang, 2024. "Deep reinforcement learning based adaptive energy management for plug-in hybrid electric vehicle with double deep Q-network," Energy, Elsevier, vol. 305(C).
    19. Yuji Ikeda & Nobuyuki Kawahara, 2022. "Measurement of Cyclic Variation of the Air-to-Fuel Ratio of Exhaust Gas in an SI Engine by Laser-Induced Breakdown Spectroscopy," Energies, MDPI, vol. 15(9), pages 1-14, April.
    20. Wang, Zhiguo & Wei, Hongqian & Xi, Yecheng & Xiao, Gongwei, 2024. "Data-driven energy utilization for plug-in hybrid electric bus with driving patten application and battery health considerations," Energy, Elsevier, vol. 310(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:268:y:2023:i:c:s0360544223001123. 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.