Hybrid control strategy for electric fuel pumps considering nonlinearity and model uncertainty

Flow regulation characteristics of an electric fuel pump have crucial influence on the control of a more electric engine. As a strongly nonlinear coupling system, electric fuel pump is facing big challenges in accurate flow control due to uncertainties and external disturbances. To enhance the regulation performance of electric fuel pumps, a hybrid control strategy integrating feed-forward compensation based on differential pressure with active disturbance rejection sliding mode control (FFC-ADRSMC) is proposed. A complete mathematical model of the electric fuel pump is established and validated by experiments. Additionally, simulations of the machine with the proposed FFC-ADRSMC are conducted under typical operations and are compared between the proposed strategy and other typical control methods. The proposed hybrid control strategy significantly reduces the delivery response time by 0.15 s and decreases the steady-state error by 4.5%. It is particularly effective for small-flow and high-pressure conditions, extending the regulation range by 10.7%. The hybrid control strategy enhances the performance and reliability of electric fuel pumps, making them more effective in mitigating the impact of delivery pressure fluctuations and improving overall flow rate control in more electric engines.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Published
2025-12-27
DOI
https://doi.org/10.1177/09544100251411777
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid control strategy for electric fuel pumps considering nonlinearity and model uncertainty

Zixi Liu, Han Zhang, Zhenhao Wang, Zhifeng Ye et al.
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Hydraulic and Pneumatic Systems
article

Hybrid control strategy for electric fuel pumps considering nonlinearity and model uncertainty

Zixi Liu, Han Zhang, Zhenhao Wang, Zhifeng Ye, Bin Wang
article en

Abstract

Flow regulation characteristics of an electric fuel pump have crucial influence on the control of a more electric engine. As a strongly nonlinear coupling system, electric fuel pump is facing big challenges in accurate flow control due to uncertainties and external disturbances. To enhance the regulation performance of electric fuel pumps, a hybrid control strategy integrating feed-forward compensation based on differential pressure with active disturbance rejection sliding mode control (FFC-ADRSMC) is proposed. A complete mathematical model of the electric fuel pump is established and validated by experiments. Additionally, simulations of the machine with the proposed FFC-ADRSMC are conducted under typical operations and are compared between the proposed strategy and other typical control methods. The proposed hybrid control strategy significantly reduces the delivery response time by 0.15 s and decreases the steady-state error by 4.5%. It is particularly effective for small-flow and high-pressure conditions, extending the regulation range by 10.7%. The hybrid control strategy enhances the performance and reliability of electric fuel pumps, making them more effective in mitigating the impact of delivery pressure fluctuations and improving overall flow rate control in more electric engines.

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering
Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Hydraulic and Pneumatic Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.