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Co-Optimized Flow Matching and Thrust Retention Control for an Adaptive Cycle Engine in Turbine-Based Combined Cycle Mode Transition

Author

Listed:
  • Yu Fu

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China)

  • Wenyan Song

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China)

  • Qiuyin Wang

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

This paper presents a comprehensive study on the control law design for the turbine-to-ramjet mode transition in an adaptive-cycle turbine-based combined cycle (TBCC) engine, aiming to mitigate the persistent “thrust gap” challenge. An integrated conceptual configuration of a hypersonic vehicle with a parallel-duct TBCC system, which replaces the conventional turbofan with a three-bypass adaptive cycle engine (ACE), is proposed. High-fidelity performance models for both the ACE and the scramjet are developed, with a Kriging surrogate model employed to accelerate the computationally intensive ACE simulations during the transition. A co-optimization framework is established, defining a comprehensive performance index that balances thrust tracking accuracy and control smoothness under rigorous intake-engine flow matching constraints. Using sequential quadratic programming (SQP), the control schedules for the ACE’s variable geometries are optimized. Comparative analyses reveal that the ACE, with its flexible bypass management and multiple adjustable mechanisms, can actively adapt its airflow demand to match the restricted intake supply. Consequently, the optimized ACE-based TBCC reduces total airflow fluctuation during the Mach 3–3.5 transition from 106% (conventional turbofan baseline) to 42.5%, while maintaining required thrust. This work quantitatively demonstrates the superior flow-handling capability of adaptive cycle technology, providing a viable and effective solution for ensuring stable and efficient mode transition in future hypersonic TBCC propulsion systems.

Suggested Citation

  • Yu Fu & Wenyan Song & Qiuyin Wang, 2026. "Co-Optimized Flow Matching and Thrust Retention Control for an Adaptive Cycle Engine in Turbine-Based Combined Cycle Mode Transition," Energies, MDPI, vol. 19(4), pages 1-20, February.
  • Handle: RePEc:gam:jeners:v:19:y:2026:i:4:p:993-:d:1864489
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