• Title/Summary/Keyword: Way Point(WP)

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Study on Unmanned Hybrid Unmanned Surface Vehicle and Unmanned Underwater Vehicle System

  • Jin, Han-Sol;Cho, Hyunjoon;Lee, Ji-Hyeong;Jiafeng, Huang;Kim, Myung-Jun;Oh, Ji-Youn;Choi, Hyeung-Sik
    • Journal of Ocean Engineering and Technology
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    • v.34 no.6
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    • pp.475-480
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    • 2020
  • Underwater operating platforms face difficulties regarding power supply and communications. To overcome these difficulties, this study proposes a hybrid surface and underwater vehicle (HSUV) and presents the development of the platform, control algorithms, and results of field tests. The HSUV is capable of supplying reliable power to the unmanned underwater vehicle (UUV) and obtaining data in real time by using a tether cable between the UUV and the unmanned surface vehicle (USV). The HSUV uses global positioning system (GPS) and ultra-short base line sensors to determine the relative location of the UUV. Way point (WP) and dynamic positioning (DP) algorithms were developed to enable the HSUV to perform unmanned exploration. After reaching the target point using the WP algorithm, the DP algorithm enables USV to maintain position while withstanding environmental disturbances. To ensure the navigation performance at sea, performance tests of GPS, attitude/heading reference system, and side scan sonar were conducted. Based on these results, manual operation, WP, and DP tests were conducted at sea. WP and DP test results and side scan sonar images during the sea trials are presented.

The Development of Driving Algorithm for an Unmanned Vehicle with Multiple-GPS's (다중 GPS를 이용한 무인자동차의 주행 알고리즘 개발)

  • Moon, Hee-Chang;Son, Young-Jin;Kim, Jung-Ha
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.1
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    • pp.27-35
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    • 2008
  • A navigation system is one of the important components of an unmanned ground vehicle (UGV). A GPS receiver collects data signals transmitted by (Earth orbiting) satellites. However, these data signals may contain many errors resulting misinformation and depending on one's position (environment), reception may be impossible. The proposed self-driven algorithm uses three low-cost GPS in order to minimize errors of existing inexpensive single GPS's driving algorithm. By using reliable final data, which is analyzed and combined from each of three GPS's received data signals, gathering a vehicle's steering performance information and its current pin-point position is improved even with error containing signals or from a place where signal gathering is impossible. The purpose of this thesis is to explain navigation system algorithm using multiple GPS and compass sensor and prove the algorithm through experiments.