Dynamic modeling and robust control for underwater vehicles by using dual quaternions

被引:0
|
作者
Suarez, Angel Eduardo Zamora [1 ,2 ]
Palacios, Filiberto Munoz [3 ,4 ]
Cruz, Sergio Salazar [3 ]
Leal, Rogelio Lozano [3 ]
Zamora-Justo, Jose Alberto [1 ]
机构
[1] Inst Politecn Nacl, Unidad Profes Interdisciplinaria Biotecnol, Dept Basic Sci, Mexico City 07340, Mexico
[2] Inst Politecn Nacl, Ctr Innovac & Desarrollo Tecnol Computo, Mexico City 07700, Mexico
[3] Ctr Invest & Estudios Avanzados, Dept Invest & Estudios Multidisciplinarios, Mexico City 07360, Mexico
[4] Invest Mexico IXM CONAHCYT, Mexico City 03940, Mexico
关键词
Dual quaternions; Unmanned underwater vehicle; Robust control; PD plus G control; Sliding mode control; TRACKING CONTROL; ATTITUDE-CONTROL;
D O I
10.1016/j.oceaneng.2024.119475
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A novel representation using dual quaternions for the dynamical model of underwater vehicles is presented. Dual quaternions are developed for terms such as inertia, added mass, Coriolis, damping, gravitational forces, and control inputs. To demonstrate the model's applicability, a particular dynamic model is obtained fora 4DOF underwater vehicle from BlueRobotics. Based on this model, three control strategies were developed: PD control with gravity compensation (PD+G), a robust PD controller with a first-order filter, and an adaptive nonsingular sliding mode control. These control methods were chosen to facilitate a comprehensive comparison and evaluation of their performance across two different scenarios. Additionally, the closed-loop system stability for each control is rigorously analyzed, and three theorems are presented. Numerical examples demonstrate the effectiveness of the control strategies and the dual quaternion-based model. Simulation results showed that the controller based on sliding mode exhibits superior performance compared to the other controllers. Finally, the results showed that the dual quaternion representation eliminates singularities in Euler angles and offers amore compact and general structure for rotations and translations compared to previous methods.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Dynamic formation control for autonomous underwater vehicles
    Xue-feng Yan
    Feng Gu
    Chen Song
    Xiao-lin Hu
    Yi Pan
    Journal of Central South University, 2014, 21 : 113 - 123
  • [22] Dynamic formation control for autonomous underwater vehicles
    Yan Xue-feng
    Gu Feng
    Song Chen
    Hu Xiao-lin
    Pan Yi
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (01) : 113 - 123
  • [23] Robust Adaptive Control of Underwater Vehicles for Precision Operations
    Valladarez, L. T. Nicholas D.
    Du Toit, Noel E.
    OCEANS 2015 - MTS/IEEE WASHINGTON, 2015,
  • [24] A Robust Predictive Control Approach for Underwater Robotic Vehicles
    Heshmati-Alamdari, Shahab
    Karras, George C.
    Marantos, Panos
    Kyriakopoulos, Kostas J.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (06) : 2352 - 2363
  • [25] Robust Tracking Control for Underactuated Autonomous Underwater Vehicles
    Bharti, Rahul Ranjan
    Narayan, Jyotindra
    Dwivedy, Santosha K.
    2022 IEEE 19TH INDIA COUNCIL INTERNATIONAL CONFERENCE, INDICON, 2022,
  • [26] Robust adaptive control of underwater vehicles: A comparative study
    Fossen, TI
    Fjellstad, OE
    MODELING IDENTIFICATION AND CONTROL, 1996, 17 (01) : 47 - 61
  • [27] Dynamic Modeling of Underwater Multi-Hull Vehicles
    Ingrosso, Roberta
    De Palma, Daniela
    Avanzini, Giulio
    Indiveri, Giovanni
    ROBOTICA, 2020, 38 (09) : 1682 - 1702
  • [28] Formation Control for Multi-Domain Autonomous Vehicles Based on Dual Quaternions
    Mas, Ignacio
    Moreno, Patricio
    Giribet, Juan
    Valentino Barzi, Diego
    2017 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'17), 2017, : 723 - 730
  • [29] Modelling Using Neural Networks and Dynamic Position Control for Unmanned Underwater Vehicles
    Ertogan, Melek
    Wilson, Philip A.
    JOURNAL OF ETA MARITIME SCIENCE, 2024, 12 (01) : 64 - 73
  • [30] Robust and efficient forward, differential, and inverse kinematics using dual quaternions
    Dantam, Neil T.
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2021, 40 (10-11): : 1087 - 1105