Underwater Rov for Headrace Tunnels
DOI:
https://doi.org/10.15662/IJEETR.2026.0802141Keywords:
Remotely Operated Vehicle (ROV), Modular DesignAbstract
Underwater search and recovery operations can be performed better by using an Underwater Remotely Operated Vehicle(ROV)․ It offers improved efficiency‚ safety and cost effectiveness of underwater inspections and explorations․ The ROV is used according to these instructions which can be preprogrammed in order to perform the vehicle operations automatically and to improve the accuracy of the operations․ Less human intervention is required with this automation․ The ROV has a camera to see the cracks‚ debris‚ sediment and biofouling․ The AI has an algorithm that can predict where are the cracks likely to occur in the tunnels and thus the maintenance team can get the necessary information through the algorithm created by the AI and take the necessary actions to prevent and repair cracks․ So as to cover a wider area and do more jobs‚ the operating distance and capacity of the ROV have been increased so that it can be used in many circumstances and carry out many jobs underwater.
References
[1] Moore, Steven W. “Underwater robotics: science, design and fabrication”, Marine advanced technology education (MATE) center, 2010.
[2] Y.Shirasaki. “A versatile and multidisciplinary scientific submarine cable network of next generation”, 2021.
[3] https://www.subsea-tech.com/long-range-pipelines-and-tunnels/
[4] https://planystech.com/dam-inspection-and-maintenance-programs-the-need-of-the-hour/
[5] .https://hibbardinshore.com/rov-underwater-inspection-of-long-tunnels-for-snowy-hydro/
[6] Sivčev, S., Coleman, J., Omerdić, E., Dooly, G., & Toal, D. "Underwater manipulators: A review", Ocean Engineering, Elsevier, 2018.
[7] Nintcheu Fata, S., & Smith, B. "Structural health monitoring of underwater structures using ROV-mounted sensors", International Journal of Advanced Robotic Systems, SAGE Publications, 2020.
[8] Bogue, R. "Underwater robots: a review of technologies and applications", Industrial Robot: An International Journal, Emerald Publishing, 2015.
[9] Ridao, P., Carreras, M., Ribas, D., Sanz, P. J., & Oliver, G. "Intervention AUVs: The Next Challenge", Annual Reviews in Control, Elsevier, 2015.
[10] C.Nagarajan and M.Madheswaran - ‘Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques’- Taylor &Francis, Electric Power Components and Systems, Vol.39 (8), pp.780-793, May 2011. DOI: 10.1080/15325008.2010.541746
[11] C.Nagarajan and M.Madheswaran - ‘Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter’ - Journal of Electrical Engineering, Vol.63 (6), pp.365-372, Dec.2012. DOI: 10.2478/v10187-012-0054-2
[12] C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011. DOI 10.1007/s00202-011-0203-9
[13] S.Tamilselvi, R.Prakash, C.Nagarajan,“Solar System Integrated Smart Grid Utilizing Hybrid Coot-Genetic Algorithm Optimized ANN Controller” Iranian Journal Of Science And Technology-Transactions Of Electrical Engineering, DOI10.1007/s40998-025-00917-z,2025
[14] [S.Tamilselvi, R.Prakash, C.Nagarajan,“ Adaptive sliding mode control of multilevel grid-connected inverters using reinforcement learning for enhanced LVRT performance” Electric Power Systems Research 253 (2026) 112428, doi.org/10.1016/j.epsr.2025.112428
[15] S.Thirunavukkarasu, C. Nagarajan, 2024, “Performance Investigation on OCF and SCF study in BLDC machine using FTANN Controller," Journal of Electrical Engineering And Technology, Volume 20, pages 2675–2688, (2025), doi.org/10.1007/s42835-024-02126-w
[16] C. Nagarajan, M.Madheswaran and D.Ramasubramanian- ‘Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’- Acta Electrotechnica et Informatica Journal , Vol.13 (2), pp.18-31,April-June.2013, DOI: 10.2478/aeei-2013-0025.
[17] C.Nagarajan and M.Madheswaran - ‘DSP Based Fuzzy Controller for Series Parallel Resonant converter’- Springer, Frontiers of Electrical and Electronic Engineering, Vol. 7(4), pp. 438-446, Dec.12. DOI 10.1007/s11460-012-0212-0.
[18] C.Nagarajan and M.Madheswaran - ‘Experimental Study and steady state stability analysis of CLL-T Series Parallel Resonant Converter with Fuzzy controller using State Space Analysis’- Iranian Journal of Electrical & Electronic Engineering, Vol.8 (3), pp.259-267, September 2012.
[19] C.Nagarajan and M.Madheswaran, “Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation” has been presented in ICTES’08, a IEEE / IET International Conference organized by M.G.R.University, Chennai.Vol.no.1, pp.190-195, Dec.2007
[20] Suganthi Mullainathan, Ramesh Natarajan, “An SPSS and CNN modelling based quality assessment using ceramic materials and membrane filtration techniques”, Revista Materia (Rio J.) Vol. 30, 2025, DOI: https://doi.org/10.1590/1517-7076-RMAT-2024-0721
[21] M Suganthi, N Ramesh, “Treatment of water using natural zeolite as membrane filter”, Journal of Environmental Protection and Ecology, Volume 23, Issue 2, pp: 520-530,2022
[22] Panetta, K., Gao, C., & Agaian, S. "Human-Visual-System-Inspired Underwater Image Quality Measures", IEEE Journal of Oceanic Engineering, IEEE, 2016.
[23] Mathew, A. (2025). Human–AI Collaboration in Security Operations: Measuring Alert Trust, Automation Bias, and Analyst Upskilling in AI-Augmented SOC Environments. International Journal of Computer Technology and Electronics Communication, 8(5), 11375-11380.
