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The turbine-based combined cycle (TBCC) engine mode transition process control problem is crucial for TBCC control. In this paper, the HO-based auto-disturbances rejection control (HO-ADRC) is proposed. The Hippopotamus Optimization (HO) algorithm is introduced into the ADRC parameter optimization, a multivariable controller is designed, and the flow matching problem of the inlet and the turbine during the transition process is taken into account. As far as the optimization of searching performance metrics is concerned, HO can lead to a performance improvement of 9.8% compared to Sparrow Search Algorithm (SSA) and 4.3% compared to Genetic Algorithm (GA). The HO-ADRC control effect results in a smoother thrust transition and a tracking speed improvement of 69.9% and 57.2% compared to PID and ADRC.

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HO-Based Auto-disturbances Rejection Control of Mode Transition Processes in Turbine-Based Combined Cycle Engine

  • 会议论文

  • 发表日期：

    2025年

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  • Yichao Wang,
  • Chen Wang,
  • Xian Du,
  • Yanhua Ma,
  • Kunzhi Liu,
  • Ximing Sun

摘要

The turbine-based combined cycle (TBCC) engine mode transition process control problem is crucial for TBCC control. In this paper, the HO-based auto-disturbances rejection control (HO-ADRC) is proposed. The Hippopotamus Optimization (HO) algorithm is introduced into the ADRC parameter optimization, a multivariable controller is designed, and the flow matching problem of the inlet and the turbine during the transition process is taken into account. As far as the optimization of searching performance metrics is concerned, HO can lead to a performance improvement of 9.8% compared to Sparrow Search Algorithm (SSA) and 4.3% compared to Genetic Algorithm (GA). The HO-ADRC control effect results in a smoother thrust transition and a tracking speed improvement of 69.9% and 57.2% compared to PID and ADRC.