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All Journal Journal of Information System and Technology (JOINT) Emitor: Jurnal Teknik Elektro
Aldoko, Fajar Surya Muhammad
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Computer Science & IT Engineering

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Perancangan Sistem Kontrol Propulsi Hibrida Kapal Trimaran Berbasis Fuzzy Logic Aldoko, Fajar Surya Muhammad; Kurniawan, Edi; Amrullah, Romanda Annas; Nurdiansari, Henna; Sandi, Wulan Marlia
Journal of Information System and Technology (JOINT) Vol. 6 No. 3 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i3.11303

Abstract

This study presents the design and implementation of a hybrid propulsion control system for a trimaran vessel using fuzzy logic. The system integrates a Brushless DC (BLDC) motor and an internal combustion engine, controlled by STM32 and ESP32 microcontrollers, with sensors for speed and current monitoring. The fuzzy logic algorithm was developed with two input variables—speed error and delta error—and one output variable for motor control. Experimental testing was conducted on a trimaran prototype in river conditions to evaluate system performance. The results show that, without fuzzy logic, the vessel’s speed fluctuated significantly, deviating from the reference set point. In contrast, with fuzzy logic control, the vessel maintained a more stable speed, achieving an average error of less than 5%. This demonstrates that fuzzy logic can effectively address the non-linear characteristics of hybrid propulsion systems, providing adaptive control that enhances speed stability and energy efficiency.
Design of a Ship Speed Control System Using Hybrid Propulsion Based on Fuzzy Logic Aldoko, Fajar Surya Muhammad; Kurniawan, Edi; Amrullah, Romanda Annas; Nurdiansari, Henna; Sandi, Wulan Marlia
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12727

Abstract

The maritime transportation sector, especially in archipelagic countries like Indonesia, faces significant challenges in optimising ship speed and fuel efficiency, particularly when using hybrid propulsion systems. This study aims to design a ship speed control system based on fuzzy logic integrated with a hybrid propulsion system (BLDC motor and diesel engine) for a trimaran vessel. The research employed both static and dynamic testing on the system, measuring parameters such as motor RPM, current consumption, voltage, and fuel efficiency across different speed modes (from 4 km/h to 11 km/h). The results showed that the fuzzy logic-based control system notably improved speed stability and fuel efficiency, especially at lower speeds, compared to conventional systems. Additionally, the system effectively adapted to environmental conditions such as waves and currents, optimising power distribution between the BLDC motor and diesel engine. The conclusion emphasises that this fuzzy logic-based control system offers a promising solution to enhance operational efficiency in hybrid propulsion systems for maritime vessels, ensuring reduced fuel consumption and improved environmental sustainability.
Co-Authors Edi Kurniawan Nurdiansari, Henna Romanda Annas Amrullah Sandi, Wulan Marlia