Development of Test-Bed AUV 'ISiMI' and Underwater Experiments on Free Running and Vision Guided Docking

In this chapter, development of a test-bed AUV is described. Free running test and vision guided docking are also presented. Autonomous underwater vehicles (AUVs) have become a main tool for surveying below the sea in scientific, military, and commercial applications because of the significant improvement in their performance. Despite the considerable improvement in AUV performance, however, AUV technologies are still attractive to scientists and engineers as a challenging field. For example, multiple AUVs and underwater docking are recent challenging issues in the field of AUV technologies (Edwards et al., 2004; Fiorelli et al., 2004; Stokey et al., 2001; Singh et al., 2001). To successfully implement these new technologies in the field, a number of sub-functions have to be tested and verified in advance. They could be control, navigation and communication functions as well as basic functions for AUVs, including an emergency architecture for survival. Since it would be very expensive and time consuming to conduct all these tests at sea, researchers and engineers engaged in the operation and development of underwater vehicles need easier test schemes and faster feedback of results in an environment similar to that of the sea. Underwater docking of an AUV to a launcher without surfacing allows the AUV have longer and more frequent investigations. Data uploading, mission downloading and recharge of batteries are essential duties of docking systems. Many research institutes have developed docking systems for AUVs. An ElectroMagnetic homing (EM) system was proposed as one of them (Feezor et al., 1997). A magnetic field generated by coils on the dock was used in that system. An AUV sensed this magnetic field and was guided to the dock. The range of the EM system was limited to 25-30m. An optical terminal guidance system was also introduced (Cowen et al., 1997). That system was simple but highly effective. The optical docking system provided targeting accuracy on the order of 1 cm under real-world conditions, even in turbid bay water. Autonomous docking demonstrations using an ultra-short baseline (USBL) acoustic homing array were shown in (Allen et al., 2006). The acoustic system was capable of acquiring a dock-mounted transponder at ranges of 3,000m or more. O pe n A cc es s D at ab as e w w w .in te ch w eb .o rg

[1]  M. D. Feezor,et al.  Autonomous underwater vehicle homing/docking via electromagnetic guidance , 2001 .

[2]  Bong-Huan Jun,et al.  Design, Implementation and Free Running Test of ISiMI; an AUV for Cruising in Ocean Engineering Basin Environment , 2007, OCEANS 2007 - Europe.

[3]  M. Purcell,et al.  REMUS: a small, low cost AUV; system description, field trials and performance results , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[4]  Bong-Huan Jun,et al.  Experiment on Underwater Docking of an Autonomous Underwater Vehicle `ISiMI' using Optical Terminal Guidance , 2007, OCEANS 2007 - Europe.

[5]  C. Deltheil,et al.  Simulating an optical guidance system for the recovery of an unmanned underwater vehicle , 2000, IEEE Journal of Oceanic Engineering.

[6]  Pan-Mook Lee,et al.  Development of the Homing And Docking Algorithm For AUV , 2003 .

[7]  Pan-Mook Lee,et al.  A docking and control system for an autonomous underwater vehicle , 2002, OCEANS '02 MTS/IEEE.

[8]  Bong-Huan Jun,et al.  Pseudo long base line navigation algorithm for underwater vehicles with inertial sensors and two acoustic range measurements , 2007 .

[9]  B.W. Hobson,et al.  The Development and Ocean Testing of an AUV Docking Station for a 21" AUV , 2007, OCEANS 2007.

[10]  P. Bhatta,et al.  Multi-AUV control and adaptive sampling in Monterey Bay , 2004, 2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578).

[11]  R. Stokey,et al.  Enabling technologies for REMUS docking: an integral component of an autonomous ocean-sampling network , 2001 .

[12]  Bong-Huan Jun,et al.  Development of the AUV ‘ISiMI’ and a free running test in an Ocean Engineering Basin , 2009 .

[13]  V. Utkin Variable structure systems with sliding modes , 1977 .

[14]  Morton Gertler,et al.  STANDARD EQUATIONS OF MOTION FOR SUBMARINE SIMULATION , 1967 .

[15]  D.L. Odell,et al.  A leader-follower algorithm for multiple AUV formations , 2004, 2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578).

[16]  Jihong Lee,et al.  Multivariable optimal control of an autonomous underwater vehicle for steering and diving control in variable speed , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[17]  Bong-Huan Jun,et al.  Simulation of an Inertial Acoustic Navigation System With Range Aiding for an Autonomous Underwater Vehicle , 2007, IEEE Journal of Oceanic Engineering.

[18]  Sea-Moon Kim,et al.  Visual servoing for underwater docking of an autonomous underwater vehicle with one camera , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[19]  Hanumant Singh,et al.  Docking for an autonomous ocean sampling network , 2001 .

[20]  Jong-Won Park,et al.  Discrete-time quasi-sliding mode control of an autonomous underwater vehicle , 1999 .

[21]  A. J. Healey,et al.  Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles , 1993 .

[22]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[23]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[24]  D. F. Myring A theoretical study of body drag in subcritical axisymmetric flow. , 1976 .

[25]  T. Austin,et al.  Autonomous Docking Demonstrations with Enhanced REMUS Technology , 2006, OCEANS 2006.

[26]  J. Feldman,et al.  DTNSRDC Revised Standarrd Submarine Equations of Motion , 1979 .

[27]  Timothy Prestero,et al.  Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle , 2001 .

[28]  S. Cowen,et al.  Underwater docking of autonomous undersea vehicles using optical terminal guidance , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[29]  Jun-Ho Oh,et al.  Experimental realization of dynamic walking of the biped humanoid robot KHR-2 using zero moment point feedback and inertial measurement , 2006, Adv. Robotics.