Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents

This paper presents a three-dimensional (3D) energy-optimal path-following control design for autonomous underwater vehicles subject to ocean currents. The proposed approach has a two-stage control architecture consisting of the setpoint computation and the setpoint tracking. In the first stage, the...

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Published inControl Technology and Applications (Online) pp. 1396 - 1401
Main Authors Yang, Niankai, Shen, Chao, Johnson-Roberson, Matthew, Sun, Jing
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.08.2022
Subjects
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ISSN2768-0770
DOI10.1109/CCTA49430.2022.9966180

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Abstract This paper presents a three-dimensional (3D) energy-optimal path-following control design for autonomous underwater vehicles subject to ocean currents. The proposed approach has a two-stage control architecture consisting of the setpoint computation and the setpoint tracking. In the first stage, the surge velocity, heave velocity, and pitch angle setpoints are optimized by minimizing the required vehicle propulsion energy under currents, and the line-of-sight (LOS) guidance law is used to generate the yaw angle setpoint that ensures path following. In the second stage, two model predictive controllers are designed to control the vehicle motion in the horizontal and vertical planes by tracking the optimal setpoints. The proposed controller is compared with a conventional LOS-based control that maintains zero heave velocity relative to the current (i.e., relative heave velocity) and derives pitch angle setpoint using LOS guidance to reach the desired depth. Through simulations, we show that the proposed approach can achieve more than 13% energy saving on a lawnmower-type and an inspection mission under different ocean current conditions. The simulation results demonstrate that allowing motions with non-zero relative heave velocity improves energy efficiency in 3D path-following applications.
AbstractList This paper presents a three-dimensional (3D) energy-optimal path-following control design for autonomous underwater vehicles subject to ocean currents. The proposed approach has a two-stage control architecture consisting of the setpoint computation and the setpoint tracking. In the first stage, the surge velocity, heave velocity, and pitch angle setpoints are optimized by minimizing the required vehicle propulsion energy under currents, and the line-of-sight (LOS) guidance law is used to generate the yaw angle setpoint that ensures path following. In the second stage, two model predictive controllers are designed to control the vehicle motion in the horizontal and vertical planes by tracking the optimal setpoints. The proposed controller is compared with a conventional LOS-based control that maintains zero heave velocity relative to the current (i.e., relative heave velocity) and derives pitch angle setpoint using LOS guidance to reach the desired depth. Through simulations, we show that the proposed approach can achieve more than 13% energy saving on a lawnmower-type and an inspection mission under different ocean current conditions. The simulation results demonstrate that allowing motions with non-zero relative heave velocity improves energy efficiency in 3D path-following applications.
Author Yang, Niankai
Sun, Jing
Shen, Chao
Johnson-Roberson, Matthew
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  givenname: Chao
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  email: jingsun@umich.edu
  organization: University of Michigan,Department of Naval Architecture and Marine Engineering,Ann Arbor,MI,USA,48109
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Snippet This paper presents a three-dimensional (3D) energy-optimal path-following control design for autonomous underwater vehicles subject to ocean currents. The...
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StartPage 1396
SubjectTerms Autonomous underwater vehicles
Line-of-sight propagation
Oceans
Propulsion
Simulation
Three-dimensional displays
Tracking
Title Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents
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