Research on a control schedule design method for propfan engine based on sensitivity and RSCN-RNGA-NI
Regarding the issue of developing and matching multivariable control schedule for propfan engines. This paper proposes a control schedule design method for propfan engine based on sensitivity and RSCN-RNGA-NI (Robust Stability Condition Number-Relative Normalized Gain Array-Niederlinski Index), which conducts correlation analysis from two aspects: sensitivity of controlled variables to control variables and system stability. The results show that the optimal combination and pairing relationship of controlled variables is: fuel flow W f controls the gas turbine shaft speed N H , front pitch angle β 1 controls the power turbine shaft speed N P , and rear pitch angle β 2 controls the power ratio P Ratio of the front and rear propfans. And based on correlation analysis, a control schedule for propfan engine based on target power was proposed. Under the premise of ensuring consistent controller bandwidth, a comparative verification of the control schedule was carried out. The results showed that the control schedule proposed in this paper had better randomness and smaller overshoot of the target power compared to the comparative control schedule. At the same time, the IAE, ISE, ITAE, and TV performance indicators of the target power response curve were reduced by 4.85%, 8.65%, 5.45%, and 7.76%, respectively, demonstrating better control performance.
Authors
- Shancheng Li (ORCID: https://orcid.org/0009-0001-8901-5211)
- Haibo Zhang (ORCID: https://orcid.org/0000-0001-9165-9211)
- Shicheng Zhu (ORCID: https://orcid.org/0009-0004-3226-8981)
- Mingyang Chen
- Zhengchen Zhu
- Wenbo Li (ORCID: https://orcid.org/0009-0008-1628-9458)
Institutions
- Aero Engine Corporation of China (China) (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
- Published
- 2026-09-18
- DOI
- https://doi.org/10.1177/09544100261486625
- Primary Topic
- Advanced Aircraft Design and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China