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Citation:
 Midhin Das Thekkedan,Cheng Siong Chin and Wai Lok Woo.Virtual Reality Simulation of Fuzzy-logic Control duringUnderwater Dynamic Positioning[J].Journal of Marine Science and Application,2015,(1):14-24.[doi:10.1007/s11804-015-1297-7]
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Virtual Reality Simulation of Fuzzy-logic Control during
Underwater Dynamic Positioning

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Title:
Virtual Reality Simulation of Fuzzy-logic Control duringUnderwater Dynamic Positioning
Author(s):
Midhin Das Thekkedan Cheng Siong Chin and Wai Lok Woo
Affilations:
Author(s):
Midhin Das Thekkedan Cheng Siong Chin and Wai Lok Woo
1. School of Marine Science and Technology, Newcastle University, NE1 7RU, United Kingdom2. School of Electrical and Electronic Engineering, Newcastle University, NE1 7RU, United Kingdom
Keywords:
graphical-user-interface (GUI) fuzzy-logic control remotely operated vehicle (ROV) proportional-integral-derivative (PID) sliding-mode controller (SMC) underwater dynamic positioning
分类号:
-
DOI:
10.1007/s11804-015-1297-7
Abstract:
In this paper, graphical-user-interface (GUI) software for simulation and fuzzy-logic control of a remotely operated vehicle (ROV) using MATLABTM GUI Designing Environment is proposed. The proposed ROV’s GUI platform allows the controller such as fuzzy-logic control systems design to be compared with other controllers such as proportional-integral-derivative (PID) and sliding-mode controller (SMC) systematically and interactively. External disturbance such as sea current can be added to improve the modelling in actual underwater environment. The simulated results showed the position responses of the fuzzy-logic control exhibit reasonable performance under the sea current disturbance.

References:

Akkizidis IS, Roberts GN, Ridao P, Batlle J (2007). Designing a fuzzy-like PD controller for an underwater robot. Control Engineering Practice, 11(4), 471-480.

DOI: 10.1016/S0967-0661(02)00055-2
Caccia M, Indiveri G, Veruggio G (2000). Modeling and identification of open-frame variable configuration underwater vehicles. IEEE Journal of Ocean Engineering, 25(2), 227-240.
DOI: 10.1109/48.838986
Chin CS, Lau MWS (2012). Modeling and testing of hydrodynamic damping model for a complex-shaped remotely-operated vehicle for control. Journal of Marine Science and Application, 11(2), 150-163.
DOI: 10.1007/s11804-012-1117-2
Chin CS, Lau MWS, Low E (2011). Supervisory cascaded controllers design: Experiment test on a remotely-operated vehicle. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 225(3), 584-603.
DOI: 10.1243/09544062jmes2223
Chin CS, Lau MWS, Low E, Seet G (2008). Robust and decoupled cascaded control system of underwater robotic vehicle for stabilization and pipeline tracking. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 222(4), 261-278.
DOI: 10.1243/09596518jsce555
Chin CS, Lau MWS, Low E, Seet GG (2006). Robust controller design method and stability analysis of an underactuated underwater vehicle. International Journal of Applied Mathematics and Computer Science, 16(3), 101-112.
Chin CS, Lum SH (2011). Rapid modeling and control systems prototyping of a marine robotic vehicle with model uncertainties using xPC Target system. Ocean Engineering, 38(17-18), 2128-2141.
DOI: 10.1016/j.oceaneng.2011.09.035
Corradini ML, Monteriu A, Orlando G (2011). An actuator failure tolerant control scheme for an underwater remotely operated vehicle. IEEE Transactions on Control Systems Technology, 19(5), 1036-1046.
DOI: 10.1109/TCST.2010.2060199
Fossen TI (1994). Guidance and control of ocean vehicles. 2nd edition, John Wiley and Sons Ltd., , New York, 5-55.
Gracanin D, Valavanis KP, Tsourveloudis NC, Matijasevic M (1999). Virtual-environment-based navigation and control of underwater vehicles. IEEE Robotics & Automation Magazine, 6(2), 53-63.
DOI: 10.1109/100.774928
Guo J, Chiu FC, Huang CC (2003). Design of a sliding mode fuzzy controller for the guidance and control of an autonomous underwater vehicle. Ocean Engineering, 30, 2137-2155.
DOI: 10.1016/S0029-8018(03)00048-9
Ishaque K, Abdullah SS, Ayob SM, Salam Z (2011). A simplified approach to design fuzzy logic controller for an underwater vehicle. Ocean Engineering, 38(1), 271-284.
DOI: 10.1016/j.oceaneng.2010.10.017
Juan PJA, Décio CD, Julio CA (2013). Experimental model identification of open-frame underwater vehicles. Ocean Engineering, 60, 81-94.
DOI: 10.1016/j.oceaneng.2012.10.007
Juan PJA, Julio CA (2011). Experimental evaluation of the hydrodynamic coefficients of a ROV through Morison’s equation. Ocean Engineering, 38(17-18), 2162-2170.
DOI: 10.1016/j.oceaneng.2011.09.032
Li JH, Jun BH, Lee PM, Hong SW (2005). A hierarchical real-time control architecture for a semi-autonomous underwater vehicle. Ocean Engineering, 32(13), 1631-1641.
DOI: 10.1016/j.oceaneng.2004.12.003
Ollennu AT, White BA (1996). Non-linear robust control designs for a remotely operated underwater vehicle depth control system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 210(3), 201-214.
DOI: 10.1243/PIME_PROC_1996_210_455_02
Raimondi FM, Melluso M (2010). Fuzzy/Kalman hierarchical horizontal motion control of underactuated ROVs. International Journal of Advanced Robotic Systems, 7(2), 139-154.
DOI: 10.5772/9697
Si JT, Chin CS (2014). An adaptable walking-skid for seabed ROV under strong current disturbance. Journal of Marine Science and Application, 13(3), 305-314.
DOI: 10.1007/s11804-014-1261-y
Smallwood DA, Whitcomb LL (2001). Toward model based trajectory tracking of underwater robotic vehicles: Theory and simulation. The 12th International Symposium on Unmanned Untethered Submersible Technology, New Hampshire, USA, 1-13.
DOI: 10.1.1.15.958
Souza D, Maruyama EC (2007). Intelligent UUVs: Some issues on rov dynamic positioning. IEEE Transactions on Aerospace and Electronic Systems, 43(1), 214-226.
DOI: 10.1109/TAES.2007.357128
Soylu S, Buckham BJ, Podhorodeski RP (2010). Dynamics and control of tethered underwater-manipulator systems. 2010 The OCEANS Conference , Seattle, USA, 1-8.
DOI: 10.1109/OCEANS.2010.5664366
Sun B, Zhu D, Yang SX (2014a). A bio-inspired cascaded tracking control of 7000m manned submarine vehicle. IEEE Transactions on Industrial Electronics, 61(7), 3682-3693.
DOI: 10.1109/TIE.2013.2267698
Sun B, Zhu D, Jiang L, Yang SX (2014b). A novel fuzzy control algorithm for three-dimensional AUV path planning based on sonar model. Journal of Intelligent & Fuzzy Systems, 26(6), 2913-2926.
DOI: 10.3233/IFS-130957
Yuh J (2000). Design and control of autonomous underwater robots: A survey. Autonomous Robots, 8(1), 7-24.
DOI: 10.1023/A:1008984701078
Zadeh LA (1965). Fuzzy sets. Information and Control, 8(3), 338-353.

Memo

Memo:
Supported by the Newcastle University’s Project Account: C0570D2330.
Last Update: 2015-04-02