Wahyudi, Syahrul (2025) Pengendalian Rudder Kapal Dengan Sistem Kendali Adaptive Fuzzy Untuk Mengurangi Konsumsi Energi Selama Navigasi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan kapal sangat menunjang laju pertumbuhan ekonomi dalam hal mengirim barang dari suatu daerah ke daerah yang lainnya. Kondisi cuaca di laut yang tidak menentu membuat kapal sulit mempertahankan lintasan nya sehingga konsumsi bahan bakar tidak seperti biasanya (abnormal). Penilitan ini dilakukan dengan sistem kendali adaptive fuzzy pada kapal untuk mengatasi permasalahan tersebut. Pemodelan dilakukan pada kapal KMP DLN OASIS dengan pendekatan dinamika Davidson dan Schiff dalam bentuk state space. Sistem kendali adaptive fuzzy dirancang dengan dua input, yaitu error yaw dan yaw rate, serta satu output berupa sudut rudder. Perancangan dilakukan pada software MATLAB/Simulink, disertai pemodelan gangguan arus laut dengan kecepatan 0.05–0.7 m/s. Penelitian ini menggunaka adaptive fuzzy tipe mamdani. Hasil uji close loop telah memenuhi standar (International Maritime Organization) yaitu nilai overshoot 0.3512° dan 0.3032° dengan set point 10° dan 20°. Simulasi lintasan tanpa dan dengan gangguan memiliki nilai error yang masih berada dalam rentang nilai permitted radius atau circle of acceptance kapal. Penerapan sistem kendali adaptive fuzzy dapat menyebabkan perubabahan konsumsi bahan bakar yang digunakan. Kondisi yang digunakan ada 4 yaitu konsumsi bahan bakar kapal sebelum diberikan pengendali menghabiskan 3.27 ton. Kapal diberikan sistem kendali yang menghabiskan bahan bakar 3.03 ton dalam keadaan tanpa gangguan dan menghemat 0.24 ton, dengan gangguan arus 0.05 m/s menghabiskan bahan bakar 3.07 ton dan menghemat 0.20 ton serta dengan gangguan arus 0.7 m/s menghabiskan bahan bakar 3.22 ton dan menghemat 0.05. Hal ini berbanding lurus dengan error lintasan dimana ketika error lintasan semakin besar maka konsumsi bahan bakar semakin besar.
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Ships greatly support economic growth in terms of transporting goods from one region to another. Unpredictable weather conditions at sea make it difficult for ships to maintain their course, resulting in abnormal fuel consumption. This research was conducted using an adaptive fuzzy control system on ships to overcome this problem. Modeling was performed on the KMP DLN OASIS vessel using the Davidson and Schiff dynamic approach in state space form. The adaptive fuzzy control system was designed with two inputs, namely yaw error and yaw rate, and one output in the form of rudder angle. The design was carried out using MATLAB/Simulink software, accompanied by modeling of sea current disturbances with speeds of 0.05–0.7 m/s. This study used the Mamdani type of adaptive fuzzy logic. The closed-loop test results met the standards set by the International Maritime Organization (IMO), with overshoot values of 0.3512° and 0.3032° at set points of 10° and 20°. Simulations of trajectories with and without disturbances showed error values that remained within the permitted radius or circle of acceptance for the ship. The application of the adaptive fuzzy control system can cause changes in fuel consumption. Four conditions were used: fuel consumption before the control system was applied was 3.27 tons. The ship was equipped with a control system that consumed 3.03 tons of fuel in the absence of disturbances and saved 0.24 tons, with a current disturbance of 0.05 m/s consuming 3.07 tons of fuel and saving 0.20 tons, and with a current disturbance of 0.7 m/s consuming 3.22 tons of fuel and saving 0.05 tons. This is directly proportional to the course error, whereas the course error increases, fuel consumption also increases.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Adaptive Fuzzy, Rudder Kapal, Sistem Kendali, Konsumsi Energi, Gangguan Arus Laut |
Subjects: | H Social Sciences > HF Commerce > HF5686 Fuel Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ165 Energy storage. T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems V Naval Science > VK > VK555 Navigation. V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM1 Ballast (Ships) |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | Syahrul Wahyudi |
Date Deposited: | 05 Aug 2025 01:53 |
Last Modified: | 05 Aug 2025 01:53 |
URI: | http://repository.its.ac.id/id/eprint/127176 |
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