Disturbance observers and extended state observers for marine vehicles: A survey

Nan Gu; Dan Wang; Zhouhua Peng; Jun Wang; Qing-Long Han

doi:10.1016/j.conengprac.2022.105158

Disturbance observers and extended state observers for marine vehicles: A survey

Nan Gu
, Dan Wang^*
, Zhouhua Peng^*
, Jun Wang^*
, Qing-Long Han^*

^*Corresponding author for this work

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

176 Citations (Scopus)

Abstract

The operation performance of marine vehicles (MVs) is significantly vulnerable to external disturbances induced by wind, waves, and ocean currents in complex marine environments. Disturbance estimation is a fundamental issue in MV motion control, and various disturbance estimation methods are explored for high-performance motion control of MVs. This paper provides a comprehensive review of disturbance estimation methods developed for MVs. First, a three-degree-of-freedom nonlinear MV model is introduced. Next, two types of disturbance estimation methods in terms of disturbance observers and extended state observers are elaborated in detail. Then, applications of disturbance estimation methods in three MV motion control scenarios are discussed. Finally, six theoretical and technical issues on disturbance estimation methods for MVs are suggested for future investigations.

Original language	English
Article number	105158
Journal	Control Engineering Practice
Volume	123
Online published	30 Mar 2022
DOIs	https://doi.org/10.1016/j.conengprac.2022.105158
Publication status	Published - Jun 2022

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 51979020, 51909021, 51939001, 52071044, and in part by the Research Grants Council of the Hong Kong Special Administrative Region of China under Grants 11208517, 11202318, and in part by the Top-notch Young Talents Program of China under Grant 36261402, and in part by the Liaoning Revitalization Talents Program under Grant XLYC2007188, and in part by Science and Technology Fund for Distinguished Young Scholars of Dalian under Grant 2018RJ08, and in part by the Basic Scientific Research in Colleges and Universities of Liaoning Provincial Education Department under Grant LJKQZ2021007.

Research Keywords

Disturbance observer
Extended state observer
Marine vehicle

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RGC-funded

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10.1016/j.conengprac.2022.105158

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@article{d06840906eb24d62a201064a6f7c7636,

title = "Disturbance observers and extended state observers for marine vehicles: A survey",

abstract = "The operation performance of marine vehicles (MVs) is significantly vulnerable to external disturbances induced by wind, waves, and ocean currents in complex marine environments. Disturbance estimation is a fundamental issue in MV motion control, and various disturbance estimation methods are explored for high-performance motion control of MVs. This paper provides a comprehensive review of disturbance estimation methods developed for MVs. First, a three-degree-of-freedom nonlinear MV model is introduced. Next, two types of disturbance estimation methods in terms of disturbance observers and extended state observers are elaborated in detail. Then, applications of disturbance estimation methods in three MV motion control scenarios are discussed. Finally, six theoretical and technical issues on disturbance estimation methods for MVs are suggested for future investigations.",

keywords = "Disturbance observer, Extended state observer, Marine vehicle",

author = "Nan Gu and Dan Wang and Zhouhua Peng and Jun Wang and Qing-Long Han",

year = "2022",

month = jun,

doi = "10.1016/j.conengprac.2022.105158",

language = "English",

volume = "123",

journal = "Control Engineering Practice",

issn = "0967-0661",

publisher = "Elsevier Ltd.",

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TY - JOUR

T1 - Disturbance observers and extended state observers for marine vehicles

T2 - A survey

AU - Gu, Nan

AU - Wang, Dan

AU - Peng, Zhouhua

AU - Wang, Jun

AU - Han, Qing-Long

PY - 2022/6

Y1 - 2022/6

N2 - The operation performance of marine vehicles (MVs) is significantly vulnerable to external disturbances induced by wind, waves, and ocean currents in complex marine environments. Disturbance estimation is a fundamental issue in MV motion control, and various disturbance estimation methods are explored for high-performance motion control of MVs. This paper provides a comprehensive review of disturbance estimation methods developed for MVs. First, a three-degree-of-freedom nonlinear MV model is introduced. Next, two types of disturbance estimation methods in terms of disturbance observers and extended state observers are elaborated in detail. Then, applications of disturbance estimation methods in three MV motion control scenarios are discussed. Finally, six theoretical and technical issues on disturbance estimation methods for MVs are suggested for future investigations.

AB - The operation performance of marine vehicles (MVs) is significantly vulnerable to external disturbances induced by wind, waves, and ocean currents in complex marine environments. Disturbance estimation is a fundamental issue in MV motion control, and various disturbance estimation methods are explored for high-performance motion control of MVs. This paper provides a comprehensive review of disturbance estimation methods developed for MVs. First, a three-degree-of-freedom nonlinear MV model is introduced. Next, two types of disturbance estimation methods in terms of disturbance observers and extended state observers are elaborated in detail. Then, applications of disturbance estimation methods in three MV motion control scenarios are discussed. Finally, six theoretical and technical issues on disturbance estimation methods for MVs are suggested for future investigations.

KW - Disturbance observer

KW - Extended state observer

KW - Marine vehicle

UR - https://www.scopus.com/pages/publications/85127312041

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85127312041&origin=recordpage

U2 - 10.1016/j.conengprac.2022.105158

DO - 10.1016/j.conengprac.2022.105158

M3 - RGC 21 - Publication in refereed journal

SN - 0967-0661

VL - 123

JO - Control Engineering Practice

JF - Control Engineering Practice

M1 - 105158

ER -

Disturbance observers and extended state observers for marine vehicles: A survey

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GRF: Intelligent Mission Planning and Tracking Control of Autonomous Surface Vehicles Based on Neural Computation

GRF: Analysis and Design of Multiscale Neurodynamic Systems with Their Applications for Robust Control, Data Processing, and Supervised Learning

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Disturbance observers and extended state observers for marine vehicles: A survey

Abstract

Funding

Research Keywords

RGC Funding Information

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Other Access Options

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GRF: Intelligent Mission Planning and Tracking Control of Autonomous Surface Vehicles Based on Neural Computation

GRF: Analysis and Design of Multiscale Neurodynamic Systems with Their Applications for Robust Control, Data Processing, and Supervised Learning

Cite this