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Installed performance seeking control based on supersonic variable inlet/engine coupling model

  • Chen Wang ORCID logo , Ximing Sun and Xian Du EMAIL logo
Published/Copyright: April 17, 2023
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Abstract

With the advancement of the supersonic aero propulsion system, optimizing the combined performance of inlet/engine integration has become increasingly crucial. To solve the coupling inlet/engine problem, a quasi-one-dimensional inlet modeling and drag calculation method are proposed, integrated performance seeking control (PSC) based on the neighborhood-based speciation differential evolution-grey wolf optimizer (NSDE-GWO) is presented and quantitatively analyses the influence of variable geometry inlet regulation on performance. The results reveal that the optimization effect of the ramp angle adjustment is generally better than that of the bleed adjustment, and the NSDE-GWO hybrid algorithm achieves remarkable optimization solutions in all three different modes. The PSC with variable geometry inlet adjustment provides more additional potential for optimization compared with fixed geometry inlet, and the performance can be maximized by adjusting both the bleed adjustment and the ramp angle. This study maximizes the exploitation of potential and has theoretical guidance and practical engineering significance.


Corresponding author: Xian Du, School of Control Science and Engineering, Dalian University of Technology, Room B701, Chuang-Xin Buidling, No. 2 Linggong Road, Dalian, 116024, China, E-mail:

Funding source: National Natural Science Foundation (NNSF) of China

Award Identifier / Grant number: 61890921

Award Identifier / Grant number: 61890924

  1. Research funding: This research is supported by National Natural Science Foundation (NNSF) of China under Grant 61890921, 61890924.

  2. Competing statement: The authors declare no conflicts of interest regarding this article.

  3. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

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Received: 2023-03-26
Accepted: 2023-03-27
Published Online: 2023-04-17
Published in Print: 2024-05-27

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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