Skripsi
SISTEM KONTROL POSISI AUTONOMOUS BUOY MENGGUNAKAN METODE FUZZY LOGIC CONTROL
The problem of poor water quality can lead to mass deaths of fish inside floating net cages (KJA). To address this issue, this research develops an automatic KJA that can adapt to water quality conditions. This KJA needs to be equipped with autonomous buoys that have actuators and sensors, enabling them to move and search for areas with good water quality by comparing sensor values with other buoys and KJA. These autonomous buoys need to possess positioning control capabilities above water to facilitate their monitoring tasks and assist KJA in finding areas with good water quality using the fuzzy logic control method. In the initial testing phase, simulations were conducted using MATLAB software, followed by direct testing of four buoys in water. The test results of autonomous buoys using fuzzy logic control demonstrate that the buoys can maintain their positions well, using 7 membership functions, with consecutive distance errors of 0.6038 m, 0.62402 m, 0.635568 m, and 0.54822 m compared to fuzzy logic with 3 and 5 membership functions. Although fuzzy logic with 7 membership functions is better in terms of route visualization and distance error values obtained, the fuzzy heading error with 7 membership functions is worse due to the greater output variation of motor speed and relatively faster response.
Inventory Code | Barcode | Call Number | Location | Status |
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2307002828 | T122979 | T1229792023 | Central Library (Referens) | Available but not for loan - Not for Loan |
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