Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Jeong, Sang-Kia | Choi, Hyeung-Sikb; * | Kang, Jin-Ilc | Oh, Ji-Youna | Kim, Seo-Kanga | Minh Nhat, Thieu Quangc
Affiliations: [a] Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, South Korea | [b] Division of Mechanical Engineering, Korea Maritime and Ocean University, Busan, South Korea | [c] Division o3Ocean Science and Technology School, KIOST-KMOU
Correspondence: [*] Corresponding author. Hyeung-Sik Choi, Division of Mechanical Engineering, Korea Maritime and Ocean University, Busan, South Korea. E-mail: [email protected].
Abstract: The underwater glider (UG) is an underwater exploration equipment that propels itself with very low power consumption by converting the vertical motion into a horizontal motion using a buoyancy control device and a wing. To enhance gliding performance of the UG, a hybrid underwater glider (HUG) has been developed to compensate for the disadvantages of slow speed and horizontal movement and limited navigation accuracy of the UG by attaching propellant to the UG [15]. In this paper, the structure, control system and control algorithm of the HUG are presented. Also, for the developed HUG, motion performance of the HUG is simulated by computer. To realize precise navigation of the developed HUG, an attitude reference system (ARS) composed of a ring laser gyroscope(RLG) and a geomagnetic sensor is developed with the Extended Kalman Filter (EKF) algorithm. To control the HUG, the six degrees of freedom equations of the HUG with the hydrodynamic force coefficient were studied. A control algorithm based on the neural network was proposed to reduce tracking error of the HUG. To validate the proposed control algorithm, a computer simulation using Matlab / Simulink was performed [13].
Keywords: Hybrid underwater glider, ARS (Attitude Reference System), underwater navigation, neural network self- tuning -PID, neural network - PID parallel controller
DOI: 10.3233/JIFS-169881
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1057-1072, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]