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Multitask Automatic Manoeuvring Systems Using Recursive Optimal Control Algorithms

conference contribution
posted on 2023-05-23, 04:22 authored by Hung NguyenHung Nguyen
This paper presents a new approach to design a multitask automatic manoeuvring system by using recursive identification and optimal control algorithms. The shippsilas manoeuvring dynamics is described by an appropriate multivariable auto-regressive exogenous (MARX) model with unknown parameters. A recursive estimation algorithm is applied to estimate the time-varying parameters of the model. An optimal controller is used to calculate state feedback control gains and control signals. The automatic manoeuvring system consists of three subsystems: guidance, navigation and control. A shippsilas linear reference model, the waypoint, circle of acceptance and exponential decay techniques are used to generate a desired trajectory. The multitask integrated control system can do many tasks at seas such as maritime search and rescue mission, rudder-roll stabiliser, ship monitoring and information providing system for captain and pilot when berthing and unberthing and manoeuvrability index estimation system. Computer simulations to verify the multi-task automatic manoeuvring system are done for two vessels.

History

Publication title

Proceedings of the Second International Conference on Communications and Electronics

Editors

Prof Nguyen Quoc Trung

Pagination

54-59

ISBN

978-1-4244-2425-2

Department/School

Australian Maritime College

Publisher

Hanoi University of Technology

Place of publication

Hanoi

Event title

Hanoi University of Technology International Conference on Communications and Electronics

Event Venue

Hoi An

Date of Event (Start Date)

2008-06-04

Date of Event (End Date)

2008-06-06

Rights statement

Copyright © 2009 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Nautical equipment

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