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Flow-network based dynamic modelling and simulation of the temperature control system for commercial aircraft with multiple temperature zones

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  • Duan, Zhongdi
  • Sun, Haoran
  • Wu, Chengyun
  • Hu, Haitao

Abstract

The aircraft temperature control system (TCS) with multiple temperature zones can provide personalized thermal regulation for crews and passengers, and it also increases the nonlinearity and coupling of the system dynamic responses. For predicting the dynamic response of the TCS with multiple temperature zones and optimizing the control effect, this paper presents a general dynamic simulation model of the TCS. A flow network consisting of pressure nodes and throttling units is developed to describe the system architecture for arbitrary temperature zones, and has the capability to compute pressure and flowrate transients in the system. Based on the flow network, component level sub-models are developed, and a simulation framework is developed incorporating the PID control algorithm. The model predictions show good agreement with the pull-down test data under hot day condition, with average deviations of 0.55 °C, 0.83 °C, and 0.91 °C for the cockpit, cabin and mixing chamber temperatures, respectively. The dynamic performance of a TCS with multiple temperature zones are further investigated for typical cooling/heating conditions and an entire flight process. The results indicate that the present model can sufficiently acquire the dynamic characteristics of TCS that provide industrial sight towards full understanding and control design of the TCS.

Suggested Citation

  • Duan, Zhongdi & Sun, Haoran & Wu, Chengyun & Hu, Haitao, 2022. "Flow-network based dynamic modelling and simulation of the temperature control system for commercial aircraft with multiple temperature zones," Energy, Elsevier, vol. 238(PB).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221021228
    DOI: 10.1016/j.energy.2021.121874
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    References listed on IDEAS

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    1. Ordonez, Juan Carlos & Bejan, Adrian, 2003. "Minimum power requirement for environmental control of aircraft," Energy, Elsevier, vol. 28(12), pages 1183-1202.
    2. Bender, Daniel, 2017. "Integration of exergy analysis into model-based design and evaluation of aircraft environmental control systems," Energy, Elsevier, vol. 137(C), pages 739-751.
    3. Yang, Yu & Chen, Shuangtao & Sheng, Chunchen & Xie, Hongtao & Luo, Gaoqiao & Hou, Yu, 2021. "Study on coupling performance of turbo-cooler in aircraft environmental control system," Energy, Elsevier, vol. 224(C).
    4. Yang, Yuanchao & Gao, Zichen, 2019. "Power optimization of the environmental control system for the civil more electric aircraft," Energy, Elsevier, vol. 172(C), pages 196-206.
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    Cited by:

    1. Sun, Haoran & Duan, Zhongdi & Wang, Xuyang & Wang, Dawei & Wu, Chengyun, 2023. "A pressure-node based dynamic model for simulation and control of aircraft air-conditioning systems," Energy, Elsevier, vol. 263(PD).

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