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A Control Method for Surge Prevention Under Load Disturbances in Closed Brayton Cycle TAC System

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  • Haosen Liu

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Yuxuan Sun

    (College of Chemistry, Sichuan University, Chengdu 610065, China)

  • Qingqing Fang

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Fangnan Huang

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Jun Yu

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Xiangrong Tang

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Qian Ning

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

Abstract

In closed Brayton cycle power generation systems, sudden load disturbances can induce a compressor surge in turbine–alternator–compressor systems, posing significant risks to dynamic stability and operational reliability. To address this challenge, this study proposes a PID control strategy optimized via a genetic algorithm. A high-fidelity dynamic model of the turbine–alternator–compressor system under closed Brayton cycle conditions is developed in Simulink, incorporating surge boundaries derived from performance maps. Control parameters are tuned using a weighted multi-objective fitness function that integrates overshoot, rise time, and the integral of absolute error. Simulation results demonstrate that the proposed control scheme markedly enhances system responsiveness—achieving approximately a 70% improvement in rotational speed regulation—and effectively maintains the operating point outside the surge region. The proposed framework provides a practical and robust approach for improving the dynamic stability and reliability of closed Brayton cycle power generation systems.

Suggested Citation

  • Haosen Liu & Yuxuan Sun & Qingqing Fang & Fangnan Huang & Jun Yu & Xiangrong Tang & Qian Ning, 2025. "A Control Method for Surge Prevention Under Load Disturbances in Closed Brayton Cycle TAC System," Energies, MDPI, vol. 18(17), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4524-:d:1733336
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    References listed on IDEAS

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    1. Kunlin Cheng & Jiahui Li & Jianchi Yu & Jiang Qin & Wuxing Jing, 2023. "Dynamic Characteristics Analysis for a Novel Double-Rotor He-Xe Closed-Brayton-Cycle Space Nuclear Power Generation System," Energies, MDPI, vol. 16(18), pages 1-20, September.
    2. Wenkui Ma & Ping Ye & Yue Gao & Yadong Hao & Yi Yao & Xiaoyong Yang, 2024. "Analysis of the Radiator Loss Safety Boundary of a Space Reactor Gas Turbine Cycle with Multiple PCU Modules," Energies, MDPI, vol. 17(3), pages 1-22, January.
    3. Said Mahfoud & Aziz Derouich & Najib El Ouanjli & Mahmoud A. Mossa & Mahajan Sagar Bhaskar & Ngo Kim Lan & Nguyen Vu Quynh, 2022. "A New Robust Direct Torque Control Based on a Genetic Algorithm for a Doubly-Fed Induction Motor: Experimental Validation," Energies, MDPI, vol. 15(15), pages 1-26, July.
    4. Zhang, Xinglong & Zhang, Tianhong, 2025. "Practical semi-supervised learning framework for real-time warning of aerodynamic instabilities: Applications from compressors to gas turbine engines," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
    5. Ma, Wenkui & Yang, Xiaoyong & Wang, Jie, 2024. "Power regulation methods and regulation characteristics of the space reactor direct Brayton cycle with helium-xenon working fluid," Energy, Elsevier, vol. 313(C).
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