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

SETIAWAN, I KETUT OKTA and Irmawan, Irmawan (2024) SISTEM KONTROL POSISI DAN FORMASI KERAMBA JARING APUNG OTOMATIS BERBASIS FUZZY LOGIC CONTROL DAN ALGORITMA PARTICLE SWARM OPTIMIZATION. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Keramba Jaring Apung otomatis, fuzzy logic, Swarm buoy, kualitas air, MATLAB, kontrol posisi, formasi, particle swarm optimization (PSO)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions: 03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User: I Ketut Okta Setiawan
Date Deposited: 18 Jul 2024 02:44
Last Modified: 18 Jul 2024 02:44
URI: http://repository.unsri.ac.id/id/eprint/151498

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