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Dynamic event-triggered trajectory tracking control for underactuated marine surface vessels with positive minimum inter-event time guarantees.

Authors :
Zhou, Bin
Huang, Ziyang
Huang, Bing
Su, Yumin
Zhu, Cheng
Source :
Ocean Engineering. Nov2022, Vol. 263, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

This paper proposes a dynamic event-triggered trajectory tracking control scheme for underactuated marine surface vessels (MSVs) with positive minimum inter-event time (MIET) guarantees. Under the presented scheme, control inputs only need to transmit to actuators at the designed event triggering time. Additionally, the maximum signal transmission frequency can be prior known by designers. To facilitate the design of the above control architecture, an unified second-ordered tracking error dynamic system is firstly derived. Then, based on the transformed error dynamic system, an event-based adaptive control law is developed. To counteract external disturbances and unmodeled dynamics, the minimum-learning-parameter (MLP) based neural approximator is constructed to enhance system robustness. Finally, by introducing internal dynamic variables, a dynamic event-triggered mechanism (DETM) is established to manage communications between the control module and actuators. Compared with existing event-triggered methods, the proposed event-driven method is dynamic and more flexible to satisfy network bandwidth requirements. Besides, MIETs of the presented DETM are also proved to be strictly positive and computable from control parameters. Theoretical analysis and simulation results verify the validity and effectiveness of the proposed DETM based control scheme. • A novel discrete adaptive event-based control law is developed to calculate the event-based control force and moment. • A novel DETM is developed to govern signal transmissions between the control module and actuators with positive MIET guarantees. • The network bandwidth requirement of the proposed control scheme is computable through control parameters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00298018
Volume :
263
Database :
Academic Search Index
Journal :
Ocean Engineering
Publication Type :
Academic Journal
Accession number :
159756744
Full Text :
https://doi.org/10.1016/j.oceaneng.2022.112344