DESIGN AND IMPLEMENTATION OF A REMOTELY SURFACE VEHICLE (RSV EMAS) POWERED BY RENEWABLE ENERGY FOR AUTOMATED WATER QUALITY MONITORING

  • Imam Sutrisno Politeknik Perkapalan Negeri Surabaya, Department of Marine Electrical Engineering, Safety and Risk, Surabaya, Indonesia https://orcid.org/0000-0002-7053-8004
  • Tibyani Tibyani Universitas Brawijaya, Department of Computer Science, Information Systems, Malang, Indonesia https://orcid.org/0000-0001-9399-4160
  • Ari Wibawa Budi Santosa Universitas Diponegoro, Faculty of Engineering, Department of Naval Architecture, Semarang, Indonesia https://orcid.org/0000-0002-9353-5236
  • Joko Subekti Sekolah Tinggi Maritim Yogyakarta, Department of Marine Engineering, Yogyakarta, Indonesia
  • Ardiansyah Ardiansyah Sekolah Tinggi Ilmu Pelayaran, Department of Marine Engineering, Jakarta, Indonesia
  • I Putu Sindhu Asmara Politeknik Perkapalan Negeri Surabaya, Department of Marine Electrical Engineering, Safety and Risk, Surabaya, Indonesia https://orcid.org/0000-0001-7359-9366
  • Dinda Pramanta Kyushu Institute of Information Sciences, Faculty of Management and Information Sciences, Department of Information and Network Sciences, Dazaifu, Japan https://orcid.org/0000-0002-7779-7148
  • Heri Sutanto Politeknik Pelayaran Barombong, Department of Marine Engineering, Barombong, Indonesia
  • Ihsan Ahda Tanjung Sekolah Tinggi Ilmu Pelayaran, Department of Marine Engineering, Jakarta, Indonesia
Keywords: autonomous surface vehicle, water quality monitoring, fuzzy-PID control, piezoelectric stabilization, solar-powered robotics

Abstract


This paper presents the design, implementation, and field evaluation of RSV Emas, a compact, solar-powered, remotely operated surface vehicle (RSV) developed for autonomous water quality monitoring. The system introduces a novel integration of three key technologies: renewable energy harvesting for extended mission endurance, a fuzzy-PID hybrid control algorithm for adaptive navigation, and embedded piezoelectric actuators for real-time stabilization in dynamic aquatic conditions. RSV Emas is equipped with a multi-sensor suite capable of measuring temperature, pH, turbidity, and total dissolved solids, with data transmitted wirelessly to a remote dashboard. Field experiments in a controlled freshwater pond demonstrate that the vehicle can operate autonomously for over six hours under moderate sunlight, maintain stable trajectory with less than 0.5 m path deviation, and reduce tilt oscillations by up to 38% through smart material-based stabilization. These results confirm that RSV Emas offers a cost-effective, energy-efficient, and scalable platform for real-time water quality assessment, with potential applicability in environmental management and early pollution detection.

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Published
2025/12/10
Section
Original Scientific Paper