Nonlinear multiple-input-multiple-output adaptive backstepping control of underwater glider systems

被引:28
|
作者
Cao, Junjun [1 ,2 ]
Cao, Junliang [1 ,2 ]
Zeng, Zheng [1 ]
Lian, Lian [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, China Inst Oceanol, Shanghai 200030, Peoples R China
[3] Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater glider; adaptive backstepping control; MIMO; multimode motion; VEHICLE; DEPTH; ROBUST;
D O I
10.1177/1729881416669484
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this article, an adaptive backstepping control is proposed for multi-input and multi-output nonlinear underwater glider systems. The developed method is established on the basis of the state-space equations, which are simplified from the full glider dynamics through reasonable assumptions. The roll angle, pitch angle, and velocity of the vehicle are considered as control objects, a Lyapunov function consisting of the tracking error of the state vectors is established. According to Lyapunov stability theory, the adaptive control laws are derived to ensure the tracking errors asymptotically converge to zero. The proposed nonlinear MIMO adaptive backstepping control (ABC) scheme is tested to control an underwater glider in saw-toothmotion, spiral motion, and multimode motion. The linear quadratic regular (LQR) control scheme is described and evaluated with the ABC for the motion control problems. The results demonstrate that both control strategies provide similar levels of robustness while using the proposed ABC scheme leads to the more smooth control efforts with less oscillatory behavior.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [1] An adaptive H∞ tracking control for a class of nonlinear multiple-input-multiple-output (MIMO) systems
    Chang, YC
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2001, 46 (09) : 1432 - 1437
  • [2] An adaptive H∞ tracking control for a class of nonlinear multiple-input-multiple-output (MIMO) systems
    Chang, Y.-C.
    2001, Institute of Electrical and Electronics Engineers Inc. (46)
  • [3] Adaptive finite-time neural backstepping control for multiple-input-multiple-output uncertain nonlinear systems with full state constraints
    Wei, Yan
    Zhou, Pingfang
    Wang, Yueying
    Duan, Dengping
    Tang, Jiwei
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (11) : 2450 - 2460
  • [4] Efficient Adaptive Turbo Equalization for Multiple-Input-Multiple-Output Underwater Acoustic Communications
    Duan, Weimin
    Tao, Jun
    Zheng, Y. Rosa
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2018, 43 (03) : 792 - 804
  • [5] On the Achievable Rate of Multiple-Input-Multiple-Output Underwater Acoustic Communications
    Bouvet, Pierre-Jean
    Auffret, Yves
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 45 (03) : 1126 - 1137
  • [6] Fuzzy control of unknown multiple-input-multiple-output plants
    Li, CS
    Priemer, R
    FUZZY SETS AND SYSTEMS, 1999, 104 (02) : 245 - 267
  • [7] Adaptive non-backstepping fuzzy tracking control for a class of multiple-input-multiple-output pure-feedback systems with unknown dead-zones
    Wang, Rui
    Yu, Fu Sheng
    Wang, Jia Yin
    IET CONTROL THEORY AND APPLICATIONS, 2014, 8 (14): : 1293 - 1302
  • [8] Multiple-input-multiple-output cooperative spatial modulation systems
    Altin, Gokhan
    Aygolu, Umit
    Basar, Ertugrul
    Celebi, Mehmet E.
    IET COMMUNICATIONS, 2017, 11 (15) : 2289 - 2296
  • [9] Subchannel allocation in multiuser multiple-input-multiple-output systems
    Tejera, Pedro
    Utschick, Wolfgang
    Bauch, Gerhard
    Nossek, Josef A.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (10) : 4721 - 4733
  • [10] Adaptive, observer for multiple-input-multiple-output (MIMO) linear time-varying systems
    Zhang, QH
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2002, 47 (03) : 525 - 529