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

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  • 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
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    References listed on IDEAS

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    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).
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    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. Jia, Xingyun & Zhou, Dengji, 2024. "Multi-variable anti-disturbance controller with state-dependent switching law for adaptive cycle engine," Energy, Elsevier, vol. 288(C).

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