Technical Notes
Jun 27, 2022

A Model-Based Framework for Dynamic Antiwindup Strategy for Gas Turbine Engine Fuel Control System

Publication: Journal of Aerospace Engineering
Volume 35, Issue 5

Abstract

Fuel control is usually required to work with the acceleration and deceleration schedules to provide limit protection. However, limit protection will deteriorate controller performance. In this work, we investigate a model-based framework for gas turbine engine fuel control system. First, the gas turbine engine performance degradation due to the actuator saturation in fuel control system is described, and the thermodynamic component-level model and small deviation linear control model are obtained from the experimental data. Then, the problem of antiwindup in gas turbine engine control system is formed and the traditional static antiwindup compensator is introduced. Next, a dynamic antiwindup compensator based on Lyapunov stability is proposed to improve the control performance, and the design of the compensator is formulated and solved in linear matrix inequality framework. One of the notable features of the proposed approach is that the original controller does not need to redesign, and its previous control performance remains unchanged in set-point control. Compared with the static compensator in hardware-in-loop simulation, the proposed dynamic compensator can achieve better performance.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This research is supported by the National Natural Science Foundation of China (61890921 and 61890923) and National Science and Technology Major Project (2017-I-0001-0001).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 35Issue 5September 2022

History

Received: Jan 15, 2020
Accepted: May 2, 2022
Published online: Jun 27, 2022
Published in print: Sep 1, 2022
Discussion open until: Nov 27, 2022

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Authors

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Associate Professor, School of Transportation Science and Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100191, China (corresponding author). ORCID: https://orcid.org/0000-0002-8378-9558. Email: [email protected]
Chenshuang Luo [email protected]
Ph.D. Candidate, School of Transportation Science and Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100191, China. Email: [email protected]
Master’s Student, School of Energy and Power Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100191, China. Email: [email protected]

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