3D trajectory tracking for under-actuated AUV using guidance-based PD controller

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.

[1]  Fumin Zhang,et al.  Future Trends in Marine Robotics , 2015 .

[2]  Mohd Rizal Arshad,et al.  Recent advancement in sensor technology for underwater applications , 2009 .

[3]  Amit K. Sanyal,et al.  An Almost Global Tracking Control Scheme for Maneuverable Autonomous Vehicles and its Discretization , 2011, IEEE Transactions on Automatic Control.

[4]  Khoshnam Shojaei,et al.  A novel approach to 6-DOF adaptive trajectory tracking control of an AUV in the presence of parameter uncertainties , 2015 .

[5]  Fumin Zhang,et al.  Future Trends in Marine Robotics [TC Spotlight] , 2015, IEEE Robotics & Automation Magazine.

[6]  M. Nahon,et al.  A trajectory tracking controller for an underwater hexapod vehicle , 2008, OCEANS 2008.

[7]  Agus Budiyono,et al.  Advances in unmanned underwater vehicles technologies: Modeling, control and guidance perspectives , 2009 .

[8]  Zongyu Zuo,et al.  Augmented L1 adaptive tracking control of quad-rotor unmanned aircrafts , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Lionel Lapierre,et al.  Hybrid underwater robotic vehicles: the state-of-the-art and future trends , 2015 .

[10]  João P. Hespanha,et al.  Trajectory-Tracking and Path-Following of Underactuated Autonomous Vehicles With Parametric Modeling Uncertainty , 2007, IEEE Transactions on Automatic Control.

[11]  Qin Zhang,et al.  Path-Following Control of an AUV: Fully Actuated Versus Under-actuated Configuration , 2016 .

[12]  Dong Chen,et al.  3-D trajectory tracking control of an underactuated AUV , 2013, Proceedings of the 32nd Chinese Control Conference.

[13]  Dan Wang,et al.  Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics , 2013, IEEE Transactions on Control Systems Technology.

[14]  Evangelos Papadopoulos,et al.  Planar trajectory planning and tracking control design for underactuated AUVs , 2007 .

[15]  K. D. Do,et al.  Robust adaptive tracking control of underactuated ODINs under stochastic sea loads , 2015, Robotics Auton. Syst..

[16]  Simon X. Yang,et al.  Real-time hybrid design of tracking control and obstacle avoidance for underactuated underwater vehicles , 2016, J. Intell. Fuzzy Syst..

[17]  Simon X. Yang,et al.  Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Shahrum Shah Abdullah,et al.  A simplified approach to design fuzzy logic controller for an underwater vehicle , 2011 .

[19]  Carlos Silvestre,et al.  Design and implementation of a trajectory tracking controller for an autonomous underwater vehicle (AUV) , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[20]  W. Huo,et al.  Planar path following control for stratospheric airship , 2013 .

[21]  Carlos Silvestre,et al.  On the design of gain-scheduled trajectory tracking controllers , 2002 .

[22]  Bruno Jouvencel,et al.  Smooth transition of AUV motion control: From fully-actuated to under-actuated configuration , 2015, Robotics Auton. Syst..

[23]  T.I. Fossen,et al.  Principles of Guidance-Based Path Following in 2D and 3D , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[24]  T.I. Fossen,et al.  Guidance-based path following for autonomous underwater vehicles , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[25]  Meng Joo Er,et al.  Direct Adaptive Fuzzy Tracking Control of Marine Vehicles With Fully Unknown Parametric Dynamics and Uncertainties , 2016, IEEE Transactions on Control Systems Technology.