Perancangan Discrete Mobile Passive Two-Axis Solar Tracker Pada PV Berbasis Kontrol Adaptive Neuro-Fuzzy Inference System (ANFIS)

Lailatur Rohmah, Siti Khodijah (2024) Perancangan Discrete Mobile Passive Two-Axis Solar Tracker Pada PV Berbasis Kontrol Adaptive Neuro-Fuzzy Inference System (ANFIS). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Solar tracker merupakan sistem yang terdiri dari subsistem elektrik dan mekanik yang memiliki fungsi untuk menggerakan panel surya untuk menjejak posisi matahari. Dengan adanya solar tracker akan memaksimalkan hasil keluaran panel surya. Terdapat 2 jenis penjejakan pada solar tracker yaitu aktif dan pasif. Penjejakan aktif akan menjejak matahari secara langsung melalui sinar matahari yang dipancarkan menggunakan sensor photodiode, sedangkan penjejakan pasif merupakan penjejakan posisi matahari yang dilakukan dengan melakukan perhitungan secara astronomi. Sistem penjejakan pasif memiliki kelebihan dapat melakukan pemanenan energi matahari meskipun dalam keadaan mendung. Perkembangan solar tracking system ini terus berlanjut dari yang semula fixed base, hingga dapat menggunakan metode mobile base. Penelitian ini bertujuan untuk mendapatkan parameter perancangan dan parameter sistem kontrol yang digunakan pada mobile base untuk passive solar tracker dengan menggunakan sistem kontrol Adaptive Neuro-Fuzzy Inference System. Pada penelitian solar tracker system ini parameter perancangan meliputi sensor sudut sebagai sensor untuk mengetahui sudut PV, dua motor DC dan dua motor driver yang berfungsi sebagai aktuator yang menggerakan panel pada sumbu pitch dan yaw, serta mikrokontroller STM32. Didapatkan hasil respon pasif solar tracker ANFIS sumbu pitch 45 dengan Rise time: 1.6301s, Ess: 1.01%, untuk sumbu yaw 45 diperoleh hasil Rise time: 3.5727, Ess: 0.14%. Performansi energi yang dihasilkan hardware mobile base solar tracker pada 5 posisi sebesar 25.33% persen lebih besar dibandingkan PV fixed. Sedangkan pada 3 posisi sebesar 21.31%.
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A solar tracker is a system consisting of electrical and mechanical subsystems which have the function of moving solar panels to track the position of the sun. Having a solar tracker will maximize the output of solar panels. There are 2 types of tracking on a solar tracker, namely active and passive. Active tracking will track the sun directly through sunlight emitted using a photodiode sensor, while passive tracking is tracking the position of the sun which is done by carrying out astronomical calculations. Passive tracking systems have the advantage of being able to harvest solar energy even in cloudy conditions. The development of this solar tracking system continues from the original fixed base, to being able to use the mobile base method. This research aims to obtain design parameters and control system parameters used on the mobile base for passive solar tracker using the Adaptive Neuro-Fuzzy Inference System control system. In this solar tracker system research, the design parameters include an angle sensor as a sensor to determine the PV angle, two DC motors and two motor drivers which function as actuators that move the panel on the pitch and yaw axes, as well as an STM32 microcontroller. The passive response results of the ANFIS solar tracker with a pitch axis of 45 were obtained with Rise time:1.6301s, Ess:1.01%, for the yaw axis 45 the results were Rise time:3.5727, Ess:0.14%. The energy performance produced by the mobile base solar tracker hardware in 5 positions is 25.33% greater than fixed PV. Meanwhile in 3 positions it was 21.31%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	ANFIS, diskrit, mobile, pasif, pemodelan, solar tracker, ANFIS, discrete, mobile, modeling, passive, solar tracker
Subjects:	T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Siti Khodijah Lailatur Rohmah
Date Deposited:	01 Aug 2024 06:24
Last Modified:	01 Aug 2024 06:24
URI:	http://repository.its.ac.id/id/eprint/109875

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