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SISTEM KONTROL POSISI DAN FORMASI KERAMBA JARING APUNG OTOMATIS BERBASIS FUZZY LOGIC CONTROL DAN ALGORITMA PARTICLE SWARM OPTIMIZATION

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Due to environmental uncertainty, traditional aquaculture using floating net cages (KJA) has low productivity. Using automated KJA, which is outfitted with autonomous buoys to measure pH and water quality, is the answer. It can dynamically monitor the surroundings. Automated KJA can take over human duties in monitoring waters, including keeping an eye on pH levels and water temperature, adjusting KJA's position, and preserving the formation and separation between KJA and buoys. Using the Sugeno fuzzy logic method and the particle swarm optimization (PSO) algorithm, this research creates an automatic KJA position control system that maintains formation and finds the optimal position for KJA. The target face direction and the intended target's distance are among the system inputs, and motor speed is the output. Direct testing on KJA and simulation with MATLAB software are the two methods of testing. Three membership functions, five membership functions, and seven membership functions are tested directly first, with average distance errors of 3.79 meters, 1.125 meters, and lastly 1.25 meters, respectively. According to the test results, the best outcomes and the best route visualization are obtained when fuzzy logic methods with seven membership functions are used. Furthermore, the PSO algorithm was successful in creating formations and moving KJA and buoys in unison using the optimal position value that emerged from repeating the longitude and latitude values on KJA.

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Detail Information

Series Title

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Call Number

T1514982024

Publisher

Indralaya : Prodi Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2024

Collation

xvii, 82 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

629.890 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Elektro

Specific Detail Info

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Statement of Responsibility

KA

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