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Article citations


M. A. Salim, A. Noordin and A. N. Jahari, “A Robust of Fuzzy Logic and Proportional Derivative Control System for Monitoring Underwater Vehicles,” 2nd International Conference on Computer Research and Development, Melaka, 7-10 May 2010, pp. 849-853. doi:10.1109/ICCRD.2010.187

has been cited by the following article:

  • TITLE: Dynamic Leveling Control of a Wireless Self-Balancing ROV Using Fuzzy Logic Controller

    AUTHORS: Mohammad Afif Ayob, Dirman Hanafi, Ayob Johari

    KEYWORDS: Fuzzy Logic Controller; ROV; Underwater Vehicle; Wireless

    JOURNAL NAME: Intelligent Control and Automation, Vol.4 No.2, May 24, 2013

    ABSTRACT: A remotely operated vehicle (ROV) is essentially an underwater mobile robot that is controlled and powered by an operator outside of the robot working environment. Like any other marine vehicle, ROV has to be designed to float in the water where its mass is supported by the buoyancy forces due to the displacement of water by its hull. Vertically positioning a mini ROV in centimeters resolution underwater and maintaining that state requires a distinctive technique partly because of the pressure and buoyance force exerted by the water towards the hull and partly because of the random waves produced by the water itself. That being said, the aim of the project is to design and develop a wireless self-balancing buoyancy system of a mini ROV using fuzzy logic controller. A liquid level sensor has been implemented to provide feedback to the controller. A user-friendly graphical user interface (GUI) has been developed for real-time data monitoring as well as controlling the vertical position of the ROV. At the end of the project, the implemented fuzzy control system shows enhanced and better performance when compared with one without a controller, a proportional-derivative (PD) controller, and a proportional-integral-derivative (PID) controller.