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http://dx.doi.org/10.4217/OPR.2011.33.1.069

Estimation of MineRo's Kinematic Parameters for Underwater Navigation Algorithm  

Yeu, Tae-Kyeong (Maritime & Ocean Engineering Research Institute, KORDI)
Yoon, Suk-Min (Maritime & Ocean Engineering Research Institute, KORDI)
Park, Soung-Jea (Maritime & Ocean Engineering Research Institute, KORDI)
Hong, Sup (Maritime & Ocean Engineering Research Institute, KORDI)
Choi, Jong-Su (Maritime & Ocean Engineering Research Institute, KORDI)
Kim, Hyung-Woo (Maritime & Ocean Engineering Research Institute, KORDI)
Kim, Dae-Won (Maritime & Ocean Engineering Research Institute, KORDI)
Lee, Chang-Ho (Maritime & Ocean Engineering Research Institute, KORDI)
Publication Information
Ocean and Polar Research / v.33, no.1, 2011 , pp. 69-76 More about this Journal
Abstract
A test miner named MineRo was constructed for the purpose of shallow water test of mining performance. In June of 2009, the performance test was conducted in depth of 100 m, 5 km away from Hupo-port (Korean East Sea), to assess if the developed system is able to collect and lift manganese nodules from seafloor. In August of 2010, in-situ test of automatic path tracking control of MineRo was performed in depth of 120 m at the same site. For path tracking control, a localization algorithm determining MineRo's position on seabed is prerequisite. This study proposes an improved underwater navigation algorithm through estimation of MineRo's kinematic parameters. In general, the kinematic parameters such as track slips and slip angle are indirectly calculated using the position data from USBL (Ultra-Short Base Line) system and heading data from gyro sensors. However, the obtained data values are likely to be different from the real values, primarily due to the random noise of position data. The aim of this study is to enhance the reliability of the algorithm by measuring kinematic parameters, track slips and slip angle.
Keywords
underwater navigation; extended kalman filter (EKF); track slip; slip angle; USBL (ultra-short base-line) system; test miner; MineRo;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Song Z, Zweiri YH, Seneviratne LD (2006) Non-linear observer for slip estimation of skid-steering vehicles. In: Proc of the 2006 IEEE International Conference on Robotics and Automation, Orlando, Florida, 15-19 May 2006, pp 1499-1504   DOI
2 Gonzalez R, Rodriguez F, Guzman L, Berenguel M (2009) Localization and control of tracked mobile robots under slip conditions. In: Proc of the 2009 IEEE International Conference on Mechatronics, Malaga, Spain, 14-17 Apr 2009, pp 1-6   DOI
3 Hong S, Choi JS, Kim HW, Won MC, Shin SC, Rhee JS,Park HU (2009) A path tracking control algorithm for underwater mining vehicles. J Mech Sci Technol 23: 2030-2037   DOI   ScienceOn
4 홍섭, 김형우, 최종수, 여태경, 홍석원, 이판묵, 임용곤, 이종무, 전봉환, 최현택, 김연구, 안종우, 김경열, 최혁진, 이문진, 이승현, 오상우, 김시문, 김선동, 변성훈, 김건도, 박성재, 윤석민, 조재철, 이태희, 김상봉 (2009) 심해저 망간단괴 집광시스템 개발 및 채광운용기술 개발. 한국해양연구원, CRPM54901-2171-5
5 여태경, 박성재, 윤석민, 홍섭, 김형우, 최종수 (2009) 근해역 시험집광기 항법 알고리즘 개발을 위한 기초 연구. In:2009년도 한국해양공학회 추계학술대회 논문집, 삼성중 공업(주) 기술연구원, 거제, 2009년 10월 22-23일, pp 273-276
6 Kinsey JC, Eustice RM, Whitcomb LL (2006) A survey of underwater vehicle navigation: recent advances and new challenges. In: Proc of the 7th IFAC Conference of Maneuvering and Control of Marine Craft, Lisbon, Portugal, Sep 2006
7 Le AT (1999) Modeling and control of tracked vehicle. Ph.D Thesis, Depart of Mechanical and Mechatronic Eng, University of Sydney, Australia, 208 p
8 Grewal MS (2001) Kalman filtering: theory and practice using MATLAB. John Wiley & Sons, 416 p