Comparison Of Controllers Design Performance For Underwater Remotely Operated Vehicle (ROV) Depth Control

Mohd Aras, Mohd Shahrieel and Mohd Zambri, Mohd Khairi and Nor Azmi, Muhammad Wahyuddin and Harun, Mohamad Haniff and Bahar, Mohd Bazli and Mohd Shah, Hairol Nizam and Husni, Ahmad Faiez (2018) Comparison Of Controllers Design Performance For Underwater Remotely Operated Vehicle (ROV) Depth Control. International Journal Of Engineering & Technology, 7. pp. 419-423. ISSN 2227-524X

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Abstract

This paper presented controller designs utilized in controlling the ROV depth control system which involved Single Input Fuzzy Logic Controller (SIFLC),Adaptive Neural Fuzzy Inference System (ANFIS),Mamdani Fuzzy Logic Controller (M-FLC) and Proportional Integrated Differential (PID) controller.The model of ROV was generate using MATLAB System Identification Toolbox’s to gain a transfer function representing the ROV model.This ROV design focused on depth control.The main objective of this study was to analyze the performance of system response among the Controller designs.This controller was verified and validated in MATLAB/Simulink platform.The result showed the analysis performances of the system response in terms of rise time and percentage of overshoot.

Item Type: Article
Uncontrolled Keywords: Single input fuzzy logic controller; adaptive neural fuzzy inference system; Mamdani fuzzy logic controller; remotely operated vehicle; depth control
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Electrical Engineering
Depositing User: Mohd. Nazir Taib
Date Deposited: 21 Jun 2019 02:57
Last Modified: 19 Aug 2021 00:03
URI: http://eprints.utem.edu.my/id/eprint/21976
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