Perancangan Discrete Dual Axis Solar Tracker Berbasis Kontrol Adaptive Neuro Fuzzy Inference System (ANFIS)

Putri, Salsabilla Patricia (2024) Perancangan Discrete Dual Axis Solar Tracker Berbasis Kontrol Adaptive Neuro Fuzzy Inference System (ANFIS). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5009201029 - Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2026. Download (6MB) | Request a copy

Abstract

Solar tracker merupakan alat penggerak yang mengikuti arah cahaya matahari dari waktu ke waktu sebagai optimalisasi penggunaan photovoltaic. Sistem solar tracker ini diharapkan dapat mengoptimalkan penangkapan energi surya agar dapat meningkatkan produksi energi. Berdasarkan penelitian-penelitian yang telah ada dalam sistem solar tracker telah banyak dikembangkan dengan pola pelacakan continuous yang memiliki konsumsi energi yang lebih besar dari pada pola pelacakan discrete solar tracker. Oleh sebab itu, dalam penelitian ini digunakan pola pelacakan discrete agar bisa meningkatkan lifecycle dan performansi dari solar tracker. Selain itu, metode penjejakan yang dipilih adalah penelitian ini adalah pasif agar mengurangi konsumsi internal energi dari solar tracker. Pada penelitian ini perancangan dilakukan dengan penjejakan pasif pada 3 posisi dan 5 posisi berbasis kontrol Adaptive Neuro Fuzzy Inference System (ANFIS). Penelitian ini menggunakan parameter perancangan komponen berupa photovoltaic dan motor DC. Selain itu, untuk parameter perancangan kontrol yang digunakan adalah 5 membership function dengan tipe sigmoid dengan hasil respon sistem untuk sumbu pitch nilai rise time yang dihasilkan adalah 0,90401 s; error steady state sebesar 0,85%, maximum overshoot sebesar 3,91%, dan settling time sebesar 3,722 s. Sedangkan untuk sumbu yaw memiliki nilai rise time yang dihasilkan adalah 1,74 s; error steady state sebesar 0,13%, maximum overshoot sebesar 3,71%, dan settling time sebesar
3,54 s. Dari perancangan yang dilakukan, discrete dual axis solar tracker system 5 posisi berbasis kontrol ANFIS memiliki performansi sebesar 47,76% terhadap PV fixed, sedangkan pada 3 posisi memiliki performansi sebesar 44,19% terhadap PV fixed.
==================================================================================================================================
Solar tracker is a driving device that follows the direction of sunlight from time to time to optimize the use of photovoltaics. This solar tracker system is expected to optimize solar energy capture in order to increase energy production. Based on existing research, many solar tracker systems have been developed with continuous tracking patterns which have greater energy consumption than discrete solar tracker tracking patterns. Therefore, in this research a discrete tracking pattern was used in order to increase the lifecycle and performance of the solar tracker. In addition, the tracking method chosen for this research is passive in order to reduce the internal energy consumption of the solar tracker. In this research, the design was carried out using passive tracking in 3 positions and 5 positions based on Adaptive Neuro Fuzzy Inference System (ANFIS) control. This research uses component design parameters in the form of photovoltaics and DC motors. Apart from that, the control design parameters used are 5 membership functions with sigmoid type with the response results for the pitch axis resulting in a rise time value of 0.90401 s; steady state error is 0.85%, maximum overshoot is 3.91%, and settling time is 3.722 s. Meanwhile, for the yaw axis, the resulting rise time value is 1.74 s; steady state error is 0.13%, maximum overshoot is 3.71%, and settling time is 3.54 s. From the design carried out, the discrete dual axis solar tracker system with 5 positions based on ANFIS control has a performance of 47.76% for fixed PV, while in 3 positions it has a performance of 44.19% for fixed PV.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Solar tracker, discrete solar tracker, kontrol ANFIS, Solar tracker, discrete solar tracker, ANFIS control
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Salsabilla Patricia Putri
Date Deposited:	31 Jul 2024 03:57
Last Modified:	31 Jul 2024 03:57
URI:	http://repository.its.ac.id/id/eprint/109493

Actions (login required)

View Item