Sliding Mode Robust Control for Maximum Allowable Vertical Tail Damage to Aircraft Based on Linear Matrix Inequality
Publication: Journal of Aerospace Engineering
Volume 34, Issue 4
Abstract
An adaptive sliding mode fault-tolerant control method is proposed for vertical tail damage. Firstly, the damaged aircraft model is introduced, and a novel nonlinear integral sliding surface is designed. Then, a sufficient condition is proposed to guarantee a damaged aircraft kinematic model with damage degree stability by using the linear matrix inequality (LMI) technique. Next, the damage-tolerant controller is designed based on an adaptive sliding mode control for analyzing damaged aircraft systems. Furthermore, the hyperbolic tangent function is utilized to replace the symbolic function in the controller; it is worth mentioning that it has been proven theoretically. Finally, an example for a Boeing-747 100/200 model is given to demonstrate the efficiency of the theoretical results by recognizing the structural fault of the aircraft. The numerical results show that the control law has a positive impact on the performance of the closed-loop system, but compared with the traditional damage aircraft stability control method, the control law has better fault tolerance and robustness to external disturbances.
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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 prepared at the College of Artificial Intelligence, Nankai University, and was supported by the National Natural Science Foundation of China (Grant Nos. 61973172 and 61973175) and the Key Technologies Research and Development Program of Tianjin (Grant No. 19JCZDJ C32800). The authors would like to thank Editor Caitlyn Pearson, Sheila L, Assistant Managing Editor Candice Leigh Gooch, and Senior Production Editor Michele Esposito.
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Published In
Journal of Aerospace Engineering
Volume 34 • Issue 4 • July 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Sep 11, 2019
Accepted: Feb 19, 2021
Published online: May 10, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 10, 2021
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