Paper
27 November 2019 Intelligent control method for high maneuvering fighter
Zongcheng Liu, Renwei Zuo, Qiuni Li, Yong Chen, Wenqian Zhang
Author Affiliations +
Proceedings Volume 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence; 113212B (2019) https://doi.org/10.1117/12.2547900
Event: The Second International Conference on Image, Video Processing and Artifical Intelligence, 2019, Shanghai, China
Abstract
For high maneuvering fighters, we propose an intelligent control method which has strong robustness in the sense that the system nonlinearities are almost completely unknown and dead-zone nonlinearity is present. Moreover, the proposed intelligent controller has very simple structure since approximators are not used and differentiation of virtual control is avoided. It is proved that all the signals in the closed-loop control system are bounded, and the attitude angle tracking error can converge to an arbitrarily small neighborhood around zero by choosing the appropriate design parameters.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zongcheng Liu, Renwei Zuo, Qiuni Li, Yong Chen, and Wenqian Zhang "Intelligent control method for high maneuvering fighter", Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113212B (27 November 2019); https://doi.org/10.1117/12.2547900
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KEYWORDS
Control systems design

Adaptive control

Control systems

Neural networks

Computing systems

Fuzzy logic

Fuzzy systems

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