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 in | Control Technology and Applications (Online) pp. 1396 - 1401 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
23.08.2022
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Subjects | |
Online Access | Get full text |
ISSN | 2768-0770 |
DOI | 10.1109/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. |
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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 |
Author_xml | – sequence: 1 givenname: Niankai surname: Yang fullname: Yang, Niankai email: ynk@umich.edu organization: University of Michigan,Department of Naval Architecture and Marine Engineering,Ann Arbor,MI,USA,48109 – sequence: 2 givenname: Chao surname: Shen fullname: Shen, Chao email: shen-chao@sce.carleton.ca organization: Carleton University,Department of Systems and Computer Engineering,Ottawa,ON,Canada – sequence: 3 givenname: Matthew surname: Johnson-Roberson fullname: Johnson-Roberson, Matthew email: mkj@andrew.cmu.edu organization: University of Michigan,Department of Naval Architecture and Marine Engineering,Ann Arbor,MI,USA,48109 – sequence: 4 givenname: Jing surname: Sun fullname: Sun, Jing 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... |
SourceID | ieee |
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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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