Skripsi
SISTEM KONTROL POSISI KERAMBA JARING APUNG OTOMATIS MENGGUNAKAN METODE FUZZY LOGIC CONTROL
Traditional fish farming can lead to the risk of fish mortality. Difficult tasks in fish farming, such as relocating the position of the cage and obtaining water quality information, can be replaced by an automatic floating net cage (KJA) equipped with DC motors, sensors, and buoys to compare water quality values during position changes. The automatic KJA is an unmanned device operated automatically on the water surface. In controlling the automatic KJA, a system is needed to control and maintain the position effectively. Currently, there is limited research on position control for automatic KJA. Therefore, in this study, an automatic floating net cage position control system was developed using the Sugeno fuzzy logic method. In performing position control, the automatic KJA requires inputs on the target direction, target distance, and output in the form of motor speed. Testing is carried out through simulations using MATLAB software and direct testing on the KJA. The direct system testing starts with 3 membership functions, then 5 membership functions, and 7 membership functions, with average distance errors of 1.0614, 1.08904, and 1.0323, respectively. This study shows that the best results are obtained using the fuzzy logic method with 7 membership functions, as seen from the visualization of the route and the obtained heading error.
Inventory Code | Barcode | Call Number | Location | Status |
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2307002803 | T122841 | T1228412023 | Central Library (Referens) | Available but not for loan - Not for Loan |
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