Pribadi, Elwas Cahya Wahyu (2021) Simulasi Kendali Kecepatan Dan Manuver Model Kapal Trimaran Dengan Sistem Propulsi Hybrid Berbasis Neural Network. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kapal trimaran adalah kapal yang memiliki tiga lambung, dimana lambung utama berada di tengah, dan diapit oleh dua lambung yang lebih kecil (sidehull). Adanya dua lambung lambung membuat kapal trimaran memiliki stabilitas yang jauh lebih baik dibandingkan kapal monohull. Peneliti ingin mengontrol kecepatan dan kemampuan manuver dengan menerapkan sistem propulsi elektrik, mekanik dan hybrid pada model kapal trimaran. Antara sistem propulsi mekanik dan elektrik, dilakukan pemisahan penempatan yang akan memudahkan pengoperasian. Sistem propulsi mekanik ditempatkan pada lambung utama (mainhull) serta sistem propulsi elektrik ditempatkan pada dua lambung kecil (sidehull). Metode input data pemrograman menggunakan neural network karena mampu mengolah data eksperimen yang dilakukan oleh peneliti selanjutnya program divalidasi. Hasil dari penelitian ini didapatkan bawah model kapal trimaran bisa menggunakan sistem propulsi mekanik pada kecepatan 2 m/s hingga 3 m/s dengan maksimum power 86.48 watt. Model kapal trimaran bisa menggunakan system propulsi elektrik mulai kecepatan 0.50 m/s hingga 2.86 m/s dengan maksimum power 110.77 watt. Model kapal trimaran bisa menggunakan sistem propulsi hybrid pada kecepatan 2.58 m/s hingga 2.89 m/s dengan maksimum power 168 watt. Manuver model kapal trimaran ketika menggunakan propulsi elektrik kurang baik, karena saat bermanuver hanya menggunakan kemampuan dari motor elektriknya saja sehingga pada thrust 20 N kapal trimaran kesulitan untuk bermanuver (berbelok). Manuver model kapal trimaran ketika menggunakan propulsi mekanik lebih baik dari pada elektrik, karena saat bermanuver selain menggunakan kemampuan dari motor mekanik juga menggunakan rudder. Sehingga untuk bermanuver kapal lebih mudah dikendalikan karena dapat diatur sudut ruddernya, tetapi dari percobaan yang telah dilakukan kemampuan bermanuver terbaik pada sudut rudder 35°. Validasi program pada neural network dilakukan dengan menggunakan excel, hasil validasi memuaskan karena memiliki error kurang dari 1% artinya perbedaan input data pada program dengan output data memiliki range error yang kecil. Ditemukan kejanggalan pada perbandingan kecepatan dan power pada sistem propulsi mekanik, elektrik dan hybrid dimana kecepatan turun ketika menggunakan sistem propulsi hybrid padahal power yang dihasilkan lebih tinggi dari sistem propulsi mekanik maupun elektrik, sehingga perlu diteliti lebih mendalam faktor apa saja yang mempengaruhi untuk penelitian selanjutnya. Peneliti sudah membuat skema sistem dengan 3 skenario yaitu model kapal trimaran saat gerak lurus, model kapal trimaran saat manuver pada kecepatan rendah dan sudut yawing rendah, model kapal trimaran saat manuver pada kecepatan tinggi dan sudut yawing tinggi, sehingga apabila nanti interface antara pengontrol dengan model kapal trimaran ditemukan, skema sistem dengan 3 skenario bisa digunakan maupun dimodifikasi.
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A trimaran is a ship that has three hulls, where the main hull is in the middle, and is flanked by two smaller hulls (sidehull). The existence of two hulls makes trimaran ships have much better stability than monohull ships. Researchers want to control the speed and maneuverability by applying electric, mechanical and hybrid propulsion systems on the trimaran ship model. Between the mechanical and electrical propulsion systems, there is a separation of placements that will facilitate operation. The mechanical propulsion system is located on the main hull and the electric propulsion system is placed on the two sidehulls. The programming data input method uses a neural network because it is able to process experimental data carried out by researchers, then the program is validated. The results of this study showed that the trimaran ship model can use a mechanical propulsion system at a speed of 2 m/s to 3 m/s with a maximum power of 86.48 watts. The trimaran ship model can use an electric propulsion system from a speed of 0.50 m/s to 2.86 m/s with a maximum power of 110.77 watts. The trimaran model can use a hybrid propulsion system at speeds of 2.58 m/s to 2.89 m/s with a maximum power of 168 watts. The maneuver of the trimaran ship model when using electric propulsion is not good, because when maneuvering it only uses the ability of the electric motor so that at 20 N thrust the trimaran ship has difficulty maneuvering (turning). The trimaran ship model maneuver when using mechanical propulsion is better than electric, because when maneuvering, in addition to using the ability of a mechanical motor, rudder is also used. So that the ship's maneuverability is easier to control because the rudder angle can be adjusted, but from the experiments that have been carried out the best maneuverability is at a rudder angle of 35°. The validation of the program on the neural network is done using excel, the validation results are satisfactory because they have an error of less than 1%, meaning that the difference between the input data in the program and the output data has a small error range. There are discrepancies in the comparison of speed and power in mechanical, electrical and hybrid propulsion systems where the speed drops when using a hybrid propulsion system even though the power produced is higher than the mechanical and electrical propulsion system, so it is necessary to examine in more depth what factors influence it for further research. Researchers have made a system scheme with 3 scenarios, namely the trimaran ship model when moving straight, the trimaran ship model when maneuvering at low speed and low yawing angle, trimaran ship model when maneuvering at high speed and high yawing angle, so that if later the interface between the controller and the model trimaran ship is found, the system scheme with 3 scenarios can be used or modified.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Trimaran ship's, propulsion system, neural network, kapal trimaran, sistem propulsi, jaringan saraf tiruan |
| Subjects: | Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM751 Resistance and propulsion of ships |
| Divisions: | Faculty of Marine Technology (MARTECH) > Marine Engineering > 36101-(S2) Master Theses |
| Depositing User: | Elwas Cahya Wahyu Pribadi |
| Date Deposited: | 26 Aug 2021 03:48 |
| Last Modified: | 26 Aug 2021 03:48 |
| URI: | http://repository.its.ac.id/id/eprint/90460 |
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