Tracking control of an articulated intervention AUV in 6DOF using the generalized super-twisting algorithm

The articulated intervention AUV (AIAUV) is an underwater swimming manipulator (USM) with intervention capabilities. Station-keeping and trajectory tracking are essential for the AIAUV to be able to move in confined spaces and to perform intervention tasks. In this paper we propose using the generalized super twisting algorithm, which is an extension of the regular super-twisting algorithm, for the trajectory tracking of the joint angles, position and orientation of the base of the AIAUV in 6DOF. Furthermore, we show the ultimate boundedness of the tracking errors. We also demonstrate the applicability of the proposed control law and compare the performance with the regular super-twisting algorithm with adaptive gains.

[1]  Ning Wang,et al.  Nonlinear disturbance observer-based backstepping finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external disturbances , 2017 .

[2]  Leonid M. Fridman,et al.  Stability notions and Lyapunov functions for sliding mode control systems , 2014, J. Frankl. Inst..

[3]  Wei Xing Zheng,et al.  Dissipativity-Based Sliding Mode Control of Switched Stochastic Systems , 2013, IEEE Transactions on Automatic Control.

[4]  Leonid M. Fridman,et al.  Super-Twisting Algorithm in presence of time and state dependent perturbations , 2018, Int. J. Control.

[5]  T.I. Fossen.  Adaptive macro-micro control of nonlinear underwater robotic systems , 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

[6]  Pål Liljebäck,et al.  Differential geometric modelling and robust path following control of snake robots using sliding mode techniques , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Jan Tommy Gravdahl,et al.  Trajectory Tracking for Underwater Swimming Manipulators using a Super Twisting Algorithm , 2018, Asian Journal of Control.

[8]  Elena Panteley,et al.  Cascaded nonlinear time-varying systems : Analysis and design , 2005 .

[9]  Yugang Niu,et al.  Adaptive sliding mode control for stochastic Markovian jumping systems with actuator degradation , 2013, Autom..

[10]  Yuanqing Xia,et al.  On designing of sliding-mode control for stochastic jump systems , 2006, IEEE Transactions on Automatic Control.

[11]  Asif Chalanga,et al.  Implementation of Super-Twisting Control on Higher Order Perturbed Integrator System using Higher Order Sliding Mode Observer , 2016 .

[12]  G. T. Russell,et al.  Evaluation and reduction of the dynamic coupling between a manipulator and an underwater vehicle , 1998 .

[13]  E. Kelasidi,et al.  The underwater swimming manipulator - a bio-inspired AUV , 2016, 2016 IEEE/OES Autonomous Underwater Vehicles (AUV).

[14]  Daqi Zhu,et al.  The bio-inspired model based hybrid sliding-mode tracking control for unmanned underwater vehicles , 2013, Eng. Appl. Artif. Intell..

[15]  Jan Tommy Gravdahl,et al.  A control framework for biologically inspired underwater swimming manipulators equipped with thrusters , 2016 .

[16]  Huijun Gao,et al.  Extended State Observer-Based Sliding-Mode Control for Three-Phase Power Converters , 2017, IEEE Transactions on Industrial Electronics.

[17]  Pål Liljebäck,et al.  Modeling of underwater snake robots , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[18]  Yuri B. Shtessel,et al.  Super-twisting adaptive sliding mode control: A Lyapunov design , 2010, 49th IEEE Conference on Decision and Control (CDC).

[19]  Gianluca Antonelli,et al.  Underwater Robots, 3rd Edition , 2014, Springer Tracts in Advanced Robotics.

[20]  Jan Tommy Gravdahl,et al.  The Underwater Swimming Manipulator—A Bioinspired Solution for Subsea Operations , 2018, IEEE Journal of Oceanic Engineering.

[21]  Thor I. Fossen,et al.  Adaptive control of nonlinear underwater robotic systems , 1991 .

[22]  Jan Tommy Gravdahl,et al.  Trajectory tracking for an articulated intervention AUV using a super-twisting algorithm in 6 DOF , 2018 .

[23]  Jian Xu,et al.  Dynamical sliding mode control for the trajectory tracking of underactuated unmanned underwater vehicles , 2015 .

[24]  Ron P. Podhorodeski,et al.  A chattering-free sliding-mode controller for underwater vehicles with fault- tolerant infinity-norm thrust allocation , 2008 .

[25]  S. Chiaverini,et al.  Singularity-free regulation of underwater vehicle-manipulator systems , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[26]  Kristin Ytterstad Pettersen,et al.  Kinematic singularity avoidance for robot manipulators using set-based manipulability tasks , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[27]  Fuwen Yang,et al.  A Novel Sliding Mode Estimation for Microgrid Control With Communication Time Delays , 2019, IEEE Transactions on Smart Grid.

[28]  Asgeir J. Sørensen,et al.  Modeling of Articulated Underwater Robots for Simulation and Control , 2018, 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV).

[29]  Leigh McCue,et al.  Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf] , 2016, IEEE Control Systems.

[30]  Ligang Wu,et al.  State estimation and sliding mode control for semi-Markovian jump systems with mismatched uncertainties , 2015, Autom..

[31]  Jan Tommy Gravdahl,et al.  Vehicle-Manipulator Systems , 2014 .