Robust Motion Control of Fully/Over-Actuated Underwater Vehicle Using Sliding Surfaces

被引:1
|
作者
Krishnan, K. S. Arun [1 ]
Kadiyam, Jagadeesh [2 ]
Mohan, Santhakumar [1 ]
机构
[1] Indian Inst Technol Palakkad, Dept Mech Engn, Palakkad 678623, Kerala, India
[2] Indian Inst Technol Mandi, Ctr Artificial Intelligence & Robot, Mandi 175005, Himachal Prades, India
关键词
Robust motion control; Fully; over-actuated AUV; Intervention AUV; Sliding mode control; External disturbances; Ocean current modeling; Disturbance observer; MODE CONTROL; THRUSTER DYNAMICS; SYSTEMS; DESIGN;
D O I
10.1007/s10846-023-01918-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a novel framework for a robust motion control scheme of an eight-thruster underwater vehicle. It combines a model-free approach intertwined with a model-based approach such as sliding mode control (SMC) to counter the unknown disturbances and decouple them to provide better tracking. A proportional-integral (PI) control-like structure is taken as the first sliding surface. A proportional derivative (PD) control-like structure is proposed as the second sliding surface for trajectory tracking. This motion control works for any fully actuated or over-actuated vehicle. Initially, the dynamic model and vehicle configuration are presented. Then the vehicle's closed-loop behavior is studied in the presence of underwater currents. Later, the study considers external disturbances and compensates them with the help of a nonlinear disturbance observer. Lyapunov's direct method and Barbalat's lemma ensure the asymptotic convergence of tracking errors. The proposed controller performance is evaluated using a detailed comparison study with different model-free and model-based controllers from the literature. Later, the control scheme's effectiveness is demonstrated numerically with the help of computer-based simulations. The robustness against the parameter uncertainties, underwater currents, and unknown disturbances is also presented.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Motion optimization of over-actuated closed kinematic chains
    Bessonnet, G
    Chessé, S
    [J]. ELEVENTH WORLD CONGRESS IN MECHANISM AND MACHINE SCIENCE, VOLS 1-5, PROCEEDINGS, 2004, : 2051 - 2055
  • [32] Extensible Control Architecture for Over-Actuated Vehicles
    Kissai, Moad
    Mouton, Xavier
    Monsuez, Bruno
    Tapus, Adriana
    [J]. 2019 19TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2019), 2019, : 263 - 269
  • [33] Path-tracking control at the limits of handling of a prototype over-actuated autonomous vehicle
    Lin, Chenhui
    Siampis, Efstathios
    Velenis, Efstathios
    [J]. VEHICLE SYSTEM DYNAMICS, 2024,
  • [34] Robust Diving Motion Control of an Autonomous Underwater Vehicle Using Adaptive Neuro-Fuzzy Sliding Mode Technique
    Lakhekar, Girish, V
    Waghmare, Laxman M.
    Jadhav, Prakash G.
    Roy, Rupam Gupta
    [J]. IEEE ACCESS, 2020, 8 (08): : 109891 - 109904
  • [35] ENERGY-EFFICIENT CONTROL ALLOCATION FOR OVER-ACTUATED SYSTEMS WITH ELECTRIC VEHICLE APPLICATIONS
    Chen, Yan
    Wang, Junmin
    [J]. PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2010, VOL 1, 2010, : 37 - 44
  • [36] Robust control allocation strategy for linear parameter-varying over-actuated systems
    Zhang, Shen-Peng
    Zhang, Deng-Feng
    Wang, Zhi-Quan
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2017, 34 (12): : 1621 - 1630
  • [37] Robust Trajectory Tracking Control for Fully Actuated Marine Surface Vehicle
    Del-Rio-Rivera, Francisco
    Ramirez-Rivera, Victor M.
    Donaire, Alejandro
    Ferguson, Joel
    [J]. IEEE ACCESS, 2020, 8 : 223897 - 223904
  • [38] Model Predictive Control Allocation of an Over-actuated Electric Vehicle with Single Wheel Actuators
    Schwartz, Manuel
    Siebenrock, Florian
    Hohmann, Soeren
    [J]. IFAC PAPERSONLINE, 2019, 52 (08): : 162 - 169
  • [39] Energy Planning for Autonomous Driving of an Over-Actuated Road Vehicle
    Bensekrane, Ismail
    Kumar, Pushpendra
    Melingui, Achille
    Coelen, Vincent
    Amara, Yacine
    Chettibi, Taha
    Merzouki, Rochdi
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (02) : 1114 - 1124
  • [40] PATH FOLLOWING CONTROL OF FULLY ACTUATED AUTONOMOUS UNDERWATER VEHICLE BASED ON LADRC
    Lamraoui, Habib Choukri
    Zhu Qidan
    [J]. POLISH MARITIME RESEARCH, 2018, 25 (04) : 39 - 48