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Finite-Time Tracking Control Based on Immersion and Invariance with Dynamically Scaling Factor for Agile Missiles

Authors :
Jiaxun Li
Xi Chen
Kang Niu
Jianqiao Yu
Source :
Aerospace, Vol 9, Iss 11, p 674 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

A novel finite-time tracking control algorithm with disturbances observer is investigated for agile missiles in the presence of mismatched and matched disturbances. A finite-time disturbance observer with the continuous super-twisting algorithm is designed to quickly estimate the mismatched and matched disturbances. An adaptive law on the basis of immersion and invariance theory (I&I) is proposed to estimate the uncertainty of aerodynamics and compensate for the inaccuracy of modeling. An adaptive dynamic scaling factor supervised by a designed supervision factor is implemented. Moreover, a novel sliding mode controller is designed, and a barrier Lyapunov function (CTV-BLF) containing the system state constraints is constructed, which can guarantee that the violation of the constraint will not appear. The finite-time stability of the new proposition is proven via Lyapunov-based analysis. Comparative simulation results illustrate the effectiveness of the proposed scheme.

Details

Language :
English
ISSN :
22264310
Volume :
9
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Aerospace
Publication Type :
Academic Journal
Accession number :
edsdoj.234e7151e724475b6f20659e194fb85
Document Type :
article
Full Text :
https://doi.org/10.3390/aerospace9110674