Localization and Tracking Control Using Hybrid Acoustic-Optical Communication for Autonomous Underwater Vehicles

被引:27
|
作者
Zhang, Ding [1 ,2 ]
NrDoye, Ibrahima [1 ]
Ballal, Tarig [1 ]
Al-Naffouri, Tareq Y. [1 ]
Alouini, Mohamed-Slim [1 ]
Laleg-Kirati, Taous-Meriem [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia
[2] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China
关键词
Optical fiber communication; Acoustics; Marine vehicles; Optical sensors; Optical transmitters; Optical attenuators; Adaptation models; Acoustic communication; adaptive model predictive control (MPC); angle of arrival; autonomous underwater vehicle (AUV); localization; optical communication; phase-difference method; positioning; proportional-derivative (PD) controller; MODEL; TRANSMISSION; DISTANCE; SPEED;
D O I
10.1109/JIOT.2020.2995799
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the problem of localization and tracking of a mobile target ship with an autonomous underwater vehicle (AUV). A hybrid acoustic-optical underwater communication solution is proposed, in which the acoustic link is used for the Non-Line-of-Sight (NLoS) localization, and the optical link is for the Line-of-Sight (LoS) transmission. By coordinating these two complementary technologies, it is possible to overcome their respective weaknesses and achieve accurate localization, tracking, and high-rate underwater data transmission. The main challenge for reliable operation is to maintain the AUV over an optical link range while the target dynamics is unknown at all times. Hence, we design an error-based adaptive model predictive control (MPC) and a proportional-derivative (PD) controller incorporating a real-time acoustic localization system to guide the AUV toward the sensor node mounted on the surface ship. We define a connectivity threshold cone with its apex coinciding with the sensor node such that when the underwater vehicle stays inside of this cone, a minimum bit rate is guaranteed. The localization, tracking control, and optical communication scheme is validated through online simulations that integrate a realistic AUV model where the effectiveness of the proposed adaptive MPC and PD controllers is demonstrated.
引用
收藏
页码:10048 / 10060
页数:13
相关论文
共 50 条
  • [41] Cooperative Localization for Autonomous Underwater Vehicles Using Parallel Projection
    Chen, Qizhu
    You, Keyou
    Song, Shiji
    [J]. 2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2017, : 788 - 793
  • [42] INTEGRATED ACOUSTIC COMMUNICATION AND POSITIONING SYSTEM BETWEEN AN AUTONOMOUS SURFACE VEHICLE AND AUTONOMOUS UNDERWATER VEHICLES
    Watanabe, Yoshitaka
    Meguro, Koji
    Deguchi, Mitsuyasu
    Kida, Yukihiro
    Shimura, Takuya
    [J]. PROCEEDINGS OF THE ASME 38TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2019, VOL 6, 2019,
  • [43] Evaluating acoustic communication performance of micro autonomous underwater vehicles in confined spaces
    Tao, Qiu-yang
    Zhou, Yue-hai
    Tong, Feng
    Song, Ai-jun
    Zhang, Fumin
    [J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2018, 19 (08) : 1013 - 1023
  • [44] Evaluating acoustic communication performance of micro autonomous underwater vehicles in confined spaces
    Qiu-yang TAO
    Yue-hai ZHOU
    Feng TONG
    Ai-jun SONG
    Fumin ZHANG
    [J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19 (08) : 1013 - 1023
  • [45] Self-Tuning Robust Tracking Control for Autonomous Underwater Vehicles
    Maghooli, Nima
    Tabatabaee-Nasab, Fahimeh S.
    Moosavian, S. Ali A.
    [J]. 2022 10TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2022, : 279 - 284
  • [46] Sliding mode tracking control of autonomous underwater vehicles with the effect of quantization
    Yan, Yan
    Yu, Shuanghe
    [J]. OCEAN ENGINEERING, 2018, 151 : 322 - 328
  • [47] ROBUST TRACKING CONTROL OF AUTONOMOUS UNDERWATER VEHICLES IN THE PRESENCE OF DISTURBANCE INPUTS
    Singh, S.
    Sanyal, A.
    Smith, R.
    Nordkvist, N.
    Chyba, M.
    [J]. OMAE 2009, VOL 4, PTS A AND B, 2009, : 345 - 351
  • [48] Adaptive Fuzzy Tracking Control of Autonomous Underwater Vehicles With Output Constraints
    Zhang, Zhongcai
    Wu, Yuqiang
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (05) : 1311 - 1319
  • [49] Development of a Regional Underwater Positioning and Communication System for Control of Multiple Autonomous Underwater Vehicles
    Sasano, Masahiko
    Inaba, Shogo
    Okamoto, Akihiro
    Seta, Takahiro
    Sawada, Shinichi
    Suto, Taku
    Tamura, Kenkichi
    Ura, Tamaki
    [J]. 2016 IEEE/OES AUTONOMOUS UNDERWATER VEHICLES (AUV), 2016, : 431 - 434
  • [50] Control of underwater autonomous vehicles using neural networks
    Santora, Michael
    Alberts, Joel
    Edwards, Dean
    [J]. OCEANS 2006, VOLS 1-4, 2006, : 924 - +