Comparison of Controllers Design Performance for Underwater Remotely Operated Vehicle (ROV) Depth Control

  • Authors

    • Muhammad Wahyuddin Nor Azmi
    • Mohd Shahrieel Mohd Aras
    • Mohd Khairi Mohd Zambri
    • Mohammad Haniff Harun
    • Ahmad Faiez Husni @ Rusli
    • M B. Bahar
    • H N. M. Shah
    https://doi.org/10.14419/ijet.v7i3.14.18830
  • Single input fuzzy logic controller, adaptive neural fuzzy inference system, Mamdani fuzzy logic controller, remotely operated vehicle, depth control.

  • 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.

     


     

  • References

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  • How to Cite

    Wahyuddin Nor Azmi, M., Shahrieel Mohd Aras, M., Khairi Mohd Zambri, M., Haniff Harun, M., Faiez Husni @ Rusli, A., B. Bahar, M., & N. M. Shah, H. (2018). Comparison of Controllers Design Performance for Underwater Remotely Operated Vehicle (ROV) Depth Control. International Journal of Engineering & Technology, 7(3.14), 419-423. https://doi.org/10.14419/ijet.v7i3.14.18830