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A novel speed optimisation scheme for unmanned sailboats by sliding mode extremum seeking control without steady-state oscillation.

Authors :
Shen, Zhipeng
Fan, Xuechun
Yu, Haomiao
Guo, Chen
Wang, Saisai
Source :
Journal of Navigation. May2022, Vol. 75 Issue 3, p745-762. 18p.
Publication Year :
2022

Abstract

This paper proposes a novel speed optimisation scheme for unmanned sailboats by sliding mode extremum seeking control (SMESC) without steady-state oscillation. In the sailing speed optimisation scheme, an initial sail angle of attack is first computed by a piecewise constant function in the feed forward block, which ensures a small deviation between sailing speed and the maximum speed. Second, the sailing speed approaches to maximum gradually by extremum search control (ESC) in the feedback block. In SMESC without steady-state oscillation, a switching law is designed to carry out the control transformation, so that the speed optimisation system carries out SMESC in the first convergence phase and ESC without steady-state oscillation in the second stability phase. This scheme combines the advantages of both control algorithms to maintain a faster convergence rate and to eliminate steady-state oscillation. Furthermore, the strict stability of the speed optimisation system is proved in this paper. Finally, we test a 12-m mathematical model of an unmanned sailboat in the simulation to demonstrate the effectiveness and robustness of this speed optimisation scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03734633
Volume :
75
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Navigation
Publication Type :
Academic Journal
Accession number :
158245001
Full Text :
https://doi.org/10.1017/S0373463321000667