Research on the Transient Characteristics of a Three-Stream Adaptive Cycle Engine

Qiuxia Yu (), Jun Hu, Weili Wang and Bin Gu
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Qiuxia Yu: College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Jun Hu: College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Weili Wang: AECC Sichuan Gas Turbine Establishment, Chengdu 610500, China
Bin Gu: AECC Sichuan Gas Turbine Establishment, Chengdu 610500, China

Energies, 2023, vol. 16, issue 24, 1-26

Abstract: Based on the transient-performance calculation model of a dual-spool mixed-flow turbofan engine, this article improves the dynamic algorithm of geometric adjustment mechanisms and establishes a transient-performance calculation model suitable for a three-stream adaptive cycle engine (three-stream ACE). Using this model, the transient characteristics of a three-stream ACE were analyzed. The results indicate that the delay in the area of the fan nozzle significantly reduces the surge margin of the front fan during deceleration, while the delay in the angle of the front-fan and aft-fan guide vanes significantly reduces the surge margin of the front fan during acceleration, therefore becoming a limitation of the transient performance of the engine. At the same time, to meet the demand for equal-thrust mode switching, this article also proposes a mode-switching control scheme that solves the problem of engine state oscillation during the mode-conversion process and achieves a smooth conversion with thrust fluctuations within 1%. The research results of this article can guide the optimization design of three-stream ACE transition-state control laws and the design of control system architecture, which has important engineering significance.

Keywords: adaptive cycle engine; response of the geometric adjustment mechanisms; transition-state characteristics; mode transition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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