Technical Papers
Nov 13, 2023

Prescribed-Time Guidance Law with Approach Angle Constraint and Actuator Faults

Publication: Journal of Aerospace Engineering
Volume 37, Issue 1

Abstract

In this paper, a prescribed-time guidance law with approach angle constraint in the presence of an actuator fault is proposed. Firstly, a sliding mode manifold with prescribed-time convergence is given to ensure that the state of the system converges to the equilibrium point in the specified time. Then, in order to suppress the distrubance, an adaptive gain based on adaptive control is designed. Subsequntly, a augmentation term based on the Lyapunov method is presented to meet the prescribed-time convergence prpoperty when an actuator fault occurs. The prescribed-time convergence of the proposed guidance laws is proven. Numerical simulation results validate the effectiveness of the proposed prescribed-time guidance framework.

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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 work was supported by the National Natural Science Foundation of China under Grant Nos. 62103016, 61922008, 62103023, and 61973013.

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Information & Authors

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 37Issue 1January 2024

History

Received: Jan 11, 2023
Accepted: Sep 7, 2023
Published online: Nov 13, 2023
Published in print: Jan 1, 2024
Discussion open until: Apr 13, 2024

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Authors

Affiliations

Zihao Wu
Postdoctor, School of Automation Science and Electrical Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100083, China.
Xiwang Dong
Professor, School of Automation Science and Electrical Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100083, China.
Qingdong Li
Associate Professor, School of Automation Science and Electrical Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100083, China.
Associate Professor, School of Automation Science and Electrical Engineering, Beihang Univ., No. 37 Xueyuan Rd., Haidian District, Beijing 100083, China (corresponding author). ORCID: https://orcid.org/0000-0002-4598-4774. Email: [email protected]
Daikai Liu
Dept. of Mechanical Engineering, Stevens Institute of Technology, Castle Point Terrace, Hoboken, NJ 07030.

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