COMPARISON OF DEPTH CONTROL FORM SURFACE AND BOTTOM SET POINT OF AN UNMANNED UNDERWATER REMOTELY OPERATED VEHICLE USING PID CONTROLLER
DOI:
https://doi.org/10.11113/jt.v74.4813Keywords:
Depth control, unmanned underwater remotely operated vehicle, ballast tank system, piston type, PID controllerAbstract
This paper investigates the depth control of an Unmanned Underwater Remotely Operated Vehicle (ROV) based on ballast tank system using conventional PID controller. The PID Controller is applied to control the depth of the ROV from two different reference points, from the surface and from the seafloor. The concept of ballast tank system selected is piston tank type. Two different sensors are selected, which is pressure sensor for measurement from the surface, and sonar sensor for measurement from the bottom. Control method from both references point are investigated and compared to find out which feedback reference points are more appropriate in different conditions. The implementation phase will be verified through MATLAB Simulink platform. The verified algorithms will then be tested on the actual prototype ROV. And also the prospect of automated the vertical movement of a ROV.
References
Wasserman K. S., Mathieu J. L., Wolf M. I, Hathi A., Fried S. E. and Baker A. K. 2003. Dynamic Buoyancy Control of an ROV using a Variable Ballast Tank. In Oceans Engineering.
Azis, F. A. Aras, M. S. M. Abdullah, S. S. Rashid, M. Z. Othman. A, M. N. 2012. Problem Identification for Underwater Remotely Operated Vehicle (ROV): A Case Study. Procedia Engineering. 41: 554-560.
Moore V. J, Steven W. and Bohm H. 2006. Underwater Robitics-Science, Design & Fabrication. In MATE.
Aras, M. S. M. Azis, F. A. Othman, M. N. Abdullah. S. S. 2012. A Low Cost 4 DOF Remotely Operated Underwater Vehicle Integrated With IMU and Pressure Sensor. 4th International Conference on Underwater System Technology: Theory and Applications 2012 (USYS'12). 18-23.
Bin T. and Noor. M. 2013. Underwater Vehicle Buoyancy Control.
Zanoli S. M. and Conte. G. 2011 Remotely Operated Vehicle Depth Control, Italy: Brecce Bianche.
Ali, Fara Ashikin and Mohd Aras, Mohd Shahrieel and Abdul Azis, Fadilah and Sulaima, Mohamad Fani and Ismail, Jaaffar. 2013. Design and Development of Auto Depth Control of Remotely Operated Vehicle (ROV) using Thruster System. Malaysian Technical Universities International Conference on Engineering & Technology (MUCET). 3-4 December 2013, Kuantan, Pahang.
Ali, F. A., Abdul Azis, F., Mohd Aras, M.S., Muhammad Nur, O. and Abdullah. S. S. 2013. Design A Magnetic Contactless Thruster of Unmanned Underwater Vehicle. International Review of Mechanical Engineering. 7(7): 1413-1420.
Mohd Aras, M. S., Abdullah, S. S., Jaafar, H. I., Razilah, A. R. and Ahmad, A. 2013. A Comparison Study Between Two Algorithms Particle Swarm Optimization for Depth Control of Underwater Remotely Operated Vehicle. International Review on Modelling & Simulations. 6(5): 1-10.
Mohd Aras, M. S. and Abdullah, S. S. and Shafei, S. S. 2012. Investigation and Evaluation of Low cost Depth Sensor System Using Pressure Sensor for Unmanned Underwater Vehicle. Majlesi Journal of Electrical Engineering. 6(2).
Aras, M. S. M, S. S. Abdullah, M. Z. A, Rahman and A. Ab, Aziz. 2013. Development and Modelling of Underwater Remotely Operated Vehicle using System Identification for Depth Control. Journal of Theoretical and Applied Information Technology. 56(1): 136-145.
Mohd Shahrieel Mohd Aras, Shahrum Shah Abdullah, Azhan Ab Rahman, Muhammad Azhar Abd Aziz. 2013. Thruster Modelling for Underwater Vehicle Using System Identification Method. International Journal of Advanced Robotic Systems. 10(252): 1-12.
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