Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise

This paper investigates the AUV region-tracking control problem with measurement noise and transient and steady-state constraints. To achieve the fluctuation of AUV tracking error within an expected region while satisfying the transient and steady-state performance constraints, this paper proposes a...

Full description

Bibliographic Details
Published in:Journal of Marine Science and Engineering
Main Authors: Tu Lv, Yujia Wang, Xing Liu, Mingjun Zhang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/11/2119
_version_ 1850421088313409536
author Tu Lv
Yujia Wang
Xing Liu
Mingjun Zhang
author_facet Tu Lv
Yujia Wang
Xing Liu
Mingjun Zhang
author_sort Tu Lv
collection DOAJ
container_title Journal of Marine Science and Engineering
description This paper investigates the AUV region-tracking control problem with measurement noise and transient and steady-state constraints. To achieve the fluctuation of AUV tracking error within an expected region while satisfying the transient and steady-state performance constraints, this paper proposes an improved nonlinear tracking error transformation method. This method converts the tracking error into a new virtual error variable through nonlinear conversion, thus transforming the above performance requirements for the tracking error into boundedness requirements for the new virtual error variable. In addition, aiming at the problem of measurement noise causing strong fluctuation of the control signal, this paper proposes a finite-time AUV control method based on a two-stage command filter. This method utilizes a finite-time sliding mode differentiator to filter the virtual control signal during the derivation of the control law using the backstepping technique. In light of the signal loss incurred by two-stage filtering and its potential impact on system stability, a finite-time compensator is designed to compensate the signal loss and achieve finite-time stability of the closed-loop system. Finally, simulations conducted using ODIN AUV demonstrate that the proposed method exhibits smooth control signal and low energy consumption characteristics. Furthermore, the tracking error meets the requirements for both transient and steady-state performance, as well as regional tracking.
format Article
id doaj-art-7c9c0b86f42f4e4d89fcf74cba00a6c9
institution Directory of Open Access Journals
issn 2077-1312
language English
publishDate 2023-11-01
publisher MDPI AG
record_format Article
spelling doaj-art-7c9c0b86f42f4e4d89fcf74cba00a6c92025-08-19T22:42:33ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-11-011111211910.3390/jmse11112119Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement NoiseTu Lv0Yujia Wang1Xing Liu2Mingjun Zhang3College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, ChinaThis paper investigates the AUV region-tracking control problem with measurement noise and transient and steady-state constraints. To achieve the fluctuation of AUV tracking error within an expected region while satisfying the transient and steady-state performance constraints, this paper proposes an improved nonlinear tracking error transformation method. This method converts the tracking error into a new virtual error variable through nonlinear conversion, thus transforming the above performance requirements for the tracking error into boundedness requirements for the new virtual error variable. In addition, aiming at the problem of measurement noise causing strong fluctuation of the control signal, this paper proposes a finite-time AUV control method based on a two-stage command filter. This method utilizes a finite-time sliding mode differentiator to filter the virtual control signal during the derivation of the control law using the backstepping technique. In light of the signal loss incurred by two-stage filtering and its potential impact on system stability, a finite-time compensator is designed to compensate the signal loss and achieve finite-time stability of the closed-loop system. Finally, simulations conducted using ODIN AUV demonstrate that the proposed method exhibits smooth control signal and low energy consumption characteristics. Furthermore, the tracking error meets the requirements for both transient and steady-state performance, as well as regional tracking.https://www.mdpi.com/2077-1312/11/11/2119region trackingfilterAUVperformance constraint
spellingShingle Tu Lv
Yujia Wang
Xing Liu
Mingjun Zhang
Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
region tracking
filter
AUV
performance constraint
title Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
title_full Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
title_fullStr Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
title_full_unstemmed Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
title_short Command-Filter-Based Region-Tracking Control for Autonomous Underwater Vehicles with Measurement Noise
title_sort command filter based region tracking control for autonomous underwater vehicles with measurement noise
topic region tracking
filter
AUV
performance constraint
url https://www.mdpi.com/2077-1312/11/11/2119
work_keys_str_mv AT tulv commandfilterbasedregiontrackingcontrolforautonomousunderwatervehicleswithmeasurementnoise
AT yujiawang commandfilterbasedregiontrackingcontrolforautonomousunderwatervehicleswithmeasurementnoise
AT xingliu commandfilterbasedregiontrackingcontrolforautonomousunderwatervehicleswithmeasurementnoise
AT mingjunzhang commandfilterbasedregiontrackingcontrolforautonomousunderwatervehicleswithmeasurementnoise