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Optimization-based transient control of turbofan engines: a sequential quadratic programming approach

  • Jiqiang Wang EMAIL logo , Huan Hu , Weicun Zhang and Zhongzhi Hu
Published/Copyright: December 29, 2021
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Abstract

Engine transient control has been challenging due to its stringent requirements from both performance and safety. Many methodologies have been proposed such as conventional schedule-based methods, linear parameter varying, multiobjective optimization and evolutionary computations etc. These approaches have been well-established and led to a series of significant results. However, they are either not providing limit protection or requiring exhaustive computational resources, particularly when generating results into full flight envelope applications. Consequently a compromise between limit protection and computational complexity is necessitated. This note considers a sequential quadratic programming (SQP)-based method for full flight envelope investigations. The proposed method can provide important design guidance and the corresponding claims are validated through detailed analysis and simulations.


Corresponding author: Jiqiang Wang, Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences, Room 507, Building IAMT (South), 1219 Zhongguan West Road, Zhenhai District, Ningbo, 315201, China, E-mail:

Funding source: Central Military Commission http://dx.doi.org/10.13039/501100001849

Award Identifier / Grant number: 2019-JCJQ-JJ-347, 20-163-00-TS-009-096-01, 80910010102 and 201919052001

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

  2. Research funding: This work is supported by the Central Military Commission Foundation to Strengthen Program Technology Fund (No. 2019-JCJQ-JJ-347); Central Military Commission Special Fund for Defense Science, Technology & Innovation (20-163-00-TS-009-096-01); Central Military Commission Advanced Research Funds for Equipment Development (80910010102); Aviation Science Fund of China-Xi’an 631 Research Institute (No. 201919052001).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2021-12-07
Accepted: 2021-12-12
Published Online: 2021-12-29

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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