Simple adaptive trajectory tracking control of underactuated autonomous underwater vehicles under LOS range and angle constraints

被引:24
作者
Li, Jian [1 ]
Du, Jialu [1 ]
Zhu, Guibing [1 ]
Lewis, Frank L. [2 ]
机构
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Peoples R China
[2] Univ Texas Arlington, Res Inst, Ft Worth, TX 76118 USA
关键词
stability; uncertain systems; trajectory control; control system synthesis; closed loop systems; adaptive control; autonomous underwater vehicles; parameter estimation; underactuated autonomous underwater vehicles; simple adaptive trajectory tracking control scheme; unknown dynamic parameters; LOS range; simple error mapping function; angle constraint problems; AUVs trajectory tracking; constraint boundaries; simple adaptive trajectory tracking control law; dynamic surface control technique; adaptive laws; closed-loop control system; asymmetric time-varying line-of-sight range; transform variable boundedness; compounded uncertain item; linear parametric form; virtual parameter estimation; strict stability analysis; DYNAMIC SURFACE CONTROL; PRESCRIBED PERFORMANCE GUARANTEES; UNCERTAIN NONLINEAR-SYSTEMS; FOLLOWER FORMATION CONTROL; FAULT-TOLERANT CONTROL; ROBUST; VESSELS;
D O I
10.1049/iet-cta.2018.6356
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the authors propose a simple adaptive trajectory tracking control scheme for underactuated autonomous underwater vehicles (AUVs) subject to unknown dynamic parameters and disturbances under asymmetric time-varying line-of-sight (LOS) range and angle constraints. A simple error mapping function is constructed to transform the LOS range and angle constraint problems of AUVs trajectory tracking into the problem of the boundedness of transform variable, such that any constraint boundaries of LOS range and angle can be handled. The compounded uncertain item caused by the unknown dynamic parameters and disturbances is transformed into a linear parametric form with only three unknown parameters called virtual parameters. Based on the above, a simple adaptive trajectory tracking control law is developed using dynamic surface control technique, where the adaptive laws online provide the estimations of virtual parameters. As a result, the proposed trajectory tracking control scheme is simple to compute and easy to implement in engineering applications. Strict stability analysis indicates that the designed control law makes AUVs track the desired trajectory within the LOS range and angle constraints and guarantees the boundedness of all signals of the closed-loop control system. Simulation results and comparison verify the effectiveness of the designed control scheme.
引用
收藏
页码:283 / 290
页数:8
相关论文
共 50 条
[41]   Finite-time self-structuring neural network trajectory tracking control of underactuated autonomous underwater vehicles [J].
Liu, Haitao ;
Zhuo, Jiaoyang ;
Tian, Xuehong ;
Mai, Qingqun .
OCEAN ENGINEERING, 2023, 268
[42]   Adaptive coordinated tracking control of multiple autonomous underwater vehicles [J].
Qi, Xue .
OCEAN ENGINEERING, 2014, 91 :84-90
[43]   Neuro-adaptive trajectory tracking control of underactuated autonomous surface vehicles with high-gain observer [J].
Zhang, Chengju ;
Wang, Cong ;
Wang, Jinqiang ;
Li, Conghui .
APPLIED OCEAN RESEARCH, 2020, 97
[44]   Neural network formation control of underactuated autonomous underwater vehicles with saturating actuators [J].
Shojaei, Khoshnam .
NEUROCOMPUTING, 2016, 194 :372-384
[45]   Robust time-varying formation control for underactuated autonomous underwater vehicles with disturbances under input saturation [J].
Li, Jian ;
Du, Jialu ;
Chang, Wen-Jer .
OCEAN ENGINEERING, 2019, 179 :180-188
[46]   Comments on 'Position-tracking control of underactuated autonomous underwater vehicles in the presence of unknown ocean currents' [J].
Xie, Wen-Jing ;
Ma, Bao-Li .
IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (14) :1865-1868
[47]   Adaptive setpoint control for autonomous underwater vehicles [J].
Sun, YC ;
Cheah, CC .
42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, :1262-1267
[48]   Neural-Based Command Filtered Backstepping Control for Trajectory Tracking of Underactuated Autonomous Surface Vehicles [J].
Zhang, Chengju ;
Wang, Cong ;
Wei, Yingjie ;
Wang, Jinqiang .
IEEE ACCESS, 2020, 8 :42481-42490
[49]   Robust Adaptive Dynamic Surface Control for Synchronized Path Following of Multiple Underactuated Autonomous Underwater Vehicles [J].
Wang Hao ;
Wang Dan ;
Peng Zhouhua ;
Yan Langtao ;
Diao Liang .
2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, :1949-1954
[50]   Trajectory Tracking Control for Autonomous Underwater Vehicles Based on Fuzzy Re-Planning of a Local Desired Trajectory [J].
Liu, Xing ;
Zhang, Mingjun ;
Rogers, Eric .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (12) :11657-11667