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All Journal International Journal of Electrical Engineering, Mathematics and Computer Science Green Engineering: Journal of Engineering and Applied Science
Muhammad Kevin Hardiansyah
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics

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PID Tuning on Sediment Detection Boat Using Simulink Muhammad Kevin Hardiansyah; Sri Arttini Dwi Prasetyowati; Bustanul Arifin
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 2 (2025): June : International Journal of Electrical Engineering, Mathematics and Compute
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i2.254

Abstract

The PG45 DC motor is a drive system used on sediment detection boat. To achieve the desired stability and speed, it is necessary to apply a control system to the sediment detection boat drive system. Control systems need to be tuned to ensure that they function properly and are responsive to changes. In order to complement the previous research, further research was carried out focusing on determining the PID control parameters on the angular speed of the PG45 DC Motor using Simulink. The PG45 DC motor works based on the Arduino programming algorithm that has been designed so that it can rotate at a predetermined speed. This research modeled the sediment detection ship system on Simulink with a similarity rate of 94.09%. The results of this study indicate that the tuning method used, namely trial and error, produces good control on the sediment detection ship system model that has been assembled in Simulink with the value of Kp = 100; Ki = 5; Kd = 15 obtained the value of rise time = 0.2474 seconds and settling time = 0.4104 seconds and overshoot = 0.2175%%.
Motor Speed Control for River Sediment Volume Measurement Using a Fuzzy Logic Controller Nur Azizah Maghfiroh; Muhammad Kevin Hardiansyah; Sri Arttini Dwi Prasetyowati; Nugroho, Agus Adhi; Bustanul Arifin
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 4 (2025): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i4.235

Abstract

The DC motor serves as the main drive of the vessel and is equipped with a rotary encoder that functions to regulate the movement of the sensor in measuring sediment levels. This rotary encoder is also used to monitor and represent the rotational speed of the DC motor. System testing was carried out by implementing a Fuzzy Logic Controller (FLC) algorithm to control the DC motor speed in moving the vessel, ensuring stable motion. This fuzzy logic–based approach is expected to improve accuracy and efficiency in sediment volume calculations, while also reducing potential errors that commonly occur in manual methods. Simulating motor speed control using the fuzzy logic algorithm in MATLAB, the best test results were achieved over several trials, with a rise time of 376.310 ms and an overshoot of 83.33%. Motor speed measurements using both a tachometer and Arduino produced consistent results, with an average relative error of 0.18%.
Co-Authors Agus Adhi Nugroho BUSTANUL ARIFIN Nur Azizah Maghfiroh Sri Arttini Dwi Prasetyawati