Analysis of an Unmanned Underwater Vehicle Propulsion Model for Motion Control

被引:4
作者
Bibuli, Marco [1 ]
Zereik, Enrica [1 ]
De Palma, Daniela [2 ]
Ingrosso, Roberta [2 ]
Indiveri, Giovanni [3 ]
机构
[1] Italian Natl Res Council, Inst Marine Engn, Via Marini 6, I-16142 Genoa, Italy
[2] Univ Salento, ISME Node, Dept Innovat Engn, Via Monteroni, I-73100 Lecce, Italy
[3] Univ Genoa, ISME Node, Dept Informat Bioengn Robot & Syst Engn DIBRIS, Via Opera Pia 13, I-16145 Genoa, Italy
基金
欧盟地平线“2020”;
关键词
THRUSTER DYNAMICS; IDENTIFICATION; PARAMETERS; ACCURATE; SYSTEM;
D O I
10.2514/1.G005692
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The knowledge of dynamic models to describe the behaviors of unmanned underwater vehicles allows to design a precise navigation, guidance, and control system. A practical identification strategy is presented in this contribution, a procedure that can be easily executed during field trials and that is able to obtain a rapid assessment about the characteristics of the vehicle dynamic model. The developed procedure is designed for small-size-class remotely operated vehicles, characterized by low operative speeds. The vehicle is equipped with proprioceptive sensors in charge of measuring data needed to identify its dynamic model. Building on the proposed practical identification experiments, different vehicle propulsion models are considered and analyzed: the first is a general theoretical model accounting for the vehicle hydrodynamics (standard marine Fossen model); the others are modified models introducing additional terms in the produced thrust (torque), namely, a term proportional to the rate of change of the propeller revolutions per minute (r.p.m.), n(t) (where n is the revolution rate of the propeller), and a delayed copy of the terms connected to the fluid axial flow velocity. For all considered degrees of freedom, the fitting performance of the proposed models resulted to be superior to the first. Moreover, a control system building on the obtained dynamic characterization is described.
引用
收藏
页码:1046 / 1059
页数:14
相关论文
共 44 条
[1]   Identification of the main hydrodynamic parameters of Typhoon AUV from a reduced experimental dataset [J].
Allotta, Benedetto ;
Costanzi, Riccardo ;
Pugi, Luca ;
Ridolfi, Alessandro .
OCEAN ENGINEERING, 2018, 147 :77-88
[2]   An accurate four-quadrant nonlinear dynamical model for marine thrusters: Theory and experimental validation [J].
Bachmayer, R ;
Whitcomb, LL ;
Grosenbaugh, MA .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2000, 25 (01) :146-159
[3]  
Bibuli M., 2017, OCEANS 2017 ABERDEEN, P1, DOI [10.1109/OCEANSE.2017.8084759, DOI 10.1109/OCEANSE.2017.8084759]
[4]   Multi-vehicle cooperative path-following guidance system for diver operation support [J].
Bibuli, Marco ;
Bruzzone, Gabriele ;
Caccia, Massimo ;
Ranieri, Andrea ;
Zereik, Enrica .
IFAC PAPERSONLINE, 2015, 48 (16) :75-80
[5]   Tracking Performance of Model-Based Thruster Control of a Remotely Operated Underwater Vehicle [J].
Boehm, Jordan ;
Berkenpas, Eric ;
Shepard, Charles ;
Paley, Derek A. .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 46 (02) :389-401
[6]   Modeling and identification of open-frame variable configuration unmanned underwater vehicles [J].
Caccia, M ;
Indiveri, G ;
Veruggio, G .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2000, 25 (02) :227-238
[7]   A Practical Approach to Modeling and Identification of Small Autonomous Surface Craft [J].
Caccia, Massimo ;
Bruzzone, Gabriele ;
Bono, Riccardo .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2008, 33 (02) :133-145
[8]   Estimation of AUV Hydrodynamic Coefficients Using Analytical and System Identification Approaches [J].
Cardenas, Persing ;
de Barros, Ettore A. .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 45 (04) :1157-1176
[9]  
Di Vito D., 2018, 2018 IEEE C CONTR TE
[10]   Parameter identification of unmanned marine vehicle manoeuvring model based on extended Kalman filter and support vector machine [J].
Dong, Zaopeng ;
Yang, Xin ;
Zheng, Mao ;
Song, Lifei ;
Mao, Yunsheng .
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (01)