3D Trajectory Tracking for Under-actuated AUV Using Guidance-based PD Controller

被引:0
作者
Yu, Caoyang [1 ]
Xiang, Xianbo [1 ]
Niu, Zemin [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Peoples R China
来源
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词
AUV; 3D trajectory tracking; Guidance and control; Under-actuated configuration; PATH-FOLLOWING CONTROL; VEHICLES; DESIGN;
D O I
暂无
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 paper adopts a new guidance and control framework to address the problem of 3D trajectory tracking for an under-actuated autonomous underwater vehicle (AUV). First, based on the error dynamics in the time-dependent trajectory frame, the desired surge speed, pitch angle and yaw angle of the AUV are deduced in kinematics by the improved Line-of-Sight (LOS) guidance law that makes full use of the essentially equivalent coordinate rotation transform. Subsequently, a simplified proportional-derivative (PD) controller based on the feedback linearization technique that can eliminate the system nonlinearity is proposed in kinetics to force the speed and orientation of the under-actuated AUV to attain their desired profiles generated by 3D guidance law, such that the AUV tracks the desired 3D Cartesian trajectory with the size and orientation of its resultant speed identical with that of the time-dependent partial on the trajectory. Finally, numerical simulation results illustrate the satisfactory 3D tracking performance of the proposed guidance and control framework as well as the feedback linearization PD controller.
引用
收藏
页码:4693 / 4698
页数:6
相关论文
共 24 条
  • [1] Trajectory-tracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty
    Aguiar, A. Pedro
    Hespanha, Joao P.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (08) : 1362 - 1379
  • [2] Arshad MR, 2009, INDIAN J MAR SCI, V38, P267
  • [3] Breivik M, 2005, IEEE DECIS CONTR P, P627
  • [4] Breivik M, 2005, OCEANS-IEEE, P2807
  • [5] Budiyono A, 2009, INDIAN J MAR SCI, V38, P282
  • [6] Chen D, 2013, CHIN CONTR CONF, P4358
  • [7] Chu ZZ, 2016, IEEE T NEURAL NETW L, V28, P1
  • [8] Robust adaptive tracking control of underactuated ODINs under stochastic sea loads
    Do, K. D.
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2015, 72 : 152 - 163
  • [9] A simplified approach to design fuzzy logic controller for an underwater vehicle
    Ishaque, K.
    Abdullah, S. S.
    Ayob, S. M.
    Salam, Z.
    [J]. OCEAN ENGINEERING, 2011, 38 (01) : 271 - 284
  • [10] Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
    Peng, Zhouhua
    Wang, Dan
    Chen, Zhiyong
    Hu, Xiaojing
    Lan, Weiyao
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (02) : 513 - 520