Depth Control for a Deep-Sea Self-Holding Intelligent Buoy Under Ocean Current Disturbances Based on Finite-Time Boundedness Method

In order to achieve the rejection of the ocean current disturbances and fast convergence in the depth positioning process of the deep-sea self-holding intelligent buoy (DSIB), a finite-time boundedness (FTB) depth control strategy based on over shoot estimation in pole placements (OEIPP) method has been proposed in which variable gains are adjusted for the DSIB closed-loop system. In this paper, the system parameters have been investigated including depth error, transient time, control gains and current disturbances. The mathematical model for the DSIB dynamic motion is established by combining the pressure hull deformation and the current disturbances model. At the same time, as the DSIB closed-loop system need be established by the finite-time transformation matrix, the establishment process on the FTB depth control strategy with a OEIPP method has been proofed. Finally, to observe the transient state of the DSIB closed-loop control system in finite time, an adjustment rule of the control gains under different current disturbances based on the FTB depth control method is analyzed. The performance of the control strategy is validated through simulations and at-sea experiments, and its feasibility established. The results show that the proposed control strategy can guarantee that the DSIB reaches the allowable depth errors of a target depth under the ocean current disturbances within a finite time. They also provide a useful guide for establishing an adjustment rule for the control gains under various current disturbances within a finite time.

[1]  David R. Thompson,et al.  Current-sensitive path planning for an underactuated free-floating ocean Sensorweb , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Keisuke Mizuno,et al.  On the Weight Adjustment of Profiling Floats , 2002 .

[3]  Sheng-Ping Hsu,et al.  Modifications of Control Loop to Improve the Depth Response of Autonomous Underwater Vehicles , 2014 .

[4]  Chris Roman,et al.  Development of a new Lagrangian float for studying coastal marine ecosystems , 2009, OCEANS 2009-EUROPE.

[5]  Bambang Sumantr,et al.  Development of variable ballast mechanism for depth positioning of spherical URV , 2008, 2008 International Symposium on Information Technology.

[6]  Francesco Amato,et al.  Finite-time control of linear systems subject to parametric uncertainties and disturbances , 2001, Autom..

[7]  Chris Roman,et al.  Control system performance and efficiency for a mid-depth Lagrangian profiling float , 2010, OCEANS'10 IEEE SYDNEY.

[8]  David M. Farmer,et al.  A Lagrangian Float , 1996 .

[9]  Zhiqiang Zuo,et al.  Brief Paper - Finite-time boundedness of switched delay systems: the reciprocally convex approach , 2014 .

[10]  S. K. Panda,et al.  Dynamic modeling of variable ballast tank for spherical underwater robot , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[11]  Vincent Dutreuil,et al.  “Deep-Arvor”: A New Profiling Float to Extend the Argo Observations Down to 4000-m Depth , 2016 .

[12]  P. Dorato SHORT-TIME STABILITY IN LINEAR TIME-VARYING SYSTEMS , 1961 .

[13]  D. Swift,et al.  RAFOS Floats: Defining and Targeting Surfaces of Neutral Buoyancy , 1994 .

[14]  Y. Zou,et al.  Finite-time stability and finite-time weighted l 2 2-gain analysis for switched systems with time-varying delay , 2013 .

[15]  Zheping Yan,et al.  Globally finite-time stable tracking control of underactuated UUVs , 2015 .

[16]  P. Dorato,et al.  Finite time stability under perturbing forces and on product spaces , 1967, IEEE Transactions on Automatic Control.

[17]  E. D’Asaro Performance of Autonomous Lagrangian Floats , 2003 .

[18]  Oliver Zielinski,et al.  Towards Selective Tidal-Stream Transport for Lagrangian profilers , 2011, OCEANS'11 MTS/IEEE KONA.

[19]  Santa Clara,et al.  Closed-loop buoyancy control for a Coastal Profiling Float , 2014 .

[20]  Yijing Wang,et al.  Finite-time stabilization of switched nonlinear systems with partial unstable modes , 2016, Appl. Math. Comput..

[21]  T. Taher,et al.  Buoyancy driven autonomous profiling float for shallow waters , 2016, OCEANS 2016 MTS/IEEE Monterey.

[22]  Guangming Xie,et al.  Improved Overshoot Estimation in Pole Placements and Its Application in Observer-Based Stabilization for Switched Systems , 2006, IEEE Transactions on Automatic Control.

[23]  Russ E. Davis,et al.  The Autonomous Lagrangian Circulation Explorer (ALACE) , 1992 .

[24]  Russ E. Davis,et al.  Profiling ALACEs and Other Advances in Autonomous Subsurface Floats , 2001 .

[25]  Yong Guo,et al.  Finite-time coordination control for formation flying spacecraft , 2014 .

[26]  Gai Wang,et al.  Finite-Time Stability Analysis of Impulsive Switched Discrete-Time Linear Systems: The Average Dwell Time Approach , 2012, Circuits, Systems, and Signal Processing.

[27]  Ryan N. Smith,et al.  Controlling Buoyancy-Driven Profiling Floats for Applications in Ocean Observation , 2014, IEEE Journal of Oceanic Engineering.