Sistem Kendali Aktif Pasif pada Motor Penjejak Matahari Dua Sumbu Menggunakan Fuzzy Logic Control - Model Predictive Control

Ikhwan, Muhammad (2018) Sistem Kendali Aktif Pasif pada Motor Penjejak Matahari Dua Sumbu Menggunakan Fuzzy Logic Control - Model Predictive Control. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengembangan teknologi energi surya berusaha memperbaiki efisiensi panel surya dengan memperhatikan posisi matahari. Penelitian ini menggunakan Fuzzy Logic Control (FLC) dan Model Predictive Control (MPC) yang diterapkan pada sistem kendali aktif pasif penjejak matahari dua sumbu. Sistem kendali aktif pasif dapat meminimalkan pengaruh gangguan luar yang diberikan pada sistem, gangguan tersebut adalah perubahan posisi sudut, perubahan intensitas cahaya, dan kombinasi kedua gangguan tersebut. Pengendali FLC menggunakan sensor cahaya sebagai referensi untuk menentukan nilai variabel kendali sehingga dapat menghilangkan faktor ketidakpastian pada sistem kendali. Disisi lain, pengendali MPC mampu memberikan nilai variabel kendali dengan tepat sesuai referensi yaitu sudut altitude dan azimuth matahari. Berdasarkan hasil simulasi, panel surya dengan penjejak pasif MPC memiliki performansi mean absolute error paling baik pada kondisi tanpa gangguan. Pada kondisi simulasi dengan gangguan, panel surya dengan penjejak aktif-pasif FLC-MPC dapat menghadapi gangguan dan mampu memulihkan gangguan dengan cepat. Berdasarkan simulasi daya yang dihasilkan, panel surya dengan penjejak aktif-pasif FLC-MPC menghasilkan efisiensi sebesar 42,64%. ============= The development of solar energy technology tried to improve solar panels by considering position of the Sun. This research used Fuzzy Logic Control (FLC) and Model Predictive Control (MPC) applied to the combination of active-passive methods on dual-axis solar tracking system. An active-passive control system could minimize the effect of external disturbance imposed to the system, such as interference in angular change, light intensity, and a combination of both disturbances. The FLC controller used light sensor as a reference to determine the value of control variable to eliminate the uncertainty factor in the control system. At the other hand, the MPC controller was able to provide the appropriate value of control variable according to the reference of altitude and azimuth solar angles. Based on the simulation results, the solar panel using passive control MPC had the best mean absolute error performance in ideal condition. In simulated conditions with disturbances, solar panel that used active-passive FLC-MPC had a deal with disturbances and able to recover the disturbance quickly. Based on the simulation of power generated, solar panel with FLC-MPC produced the best efficiency about 42.64%.

Item Type: Thesis (Masters)
Uncontrolled Keywords: fuzzy logic control; metode aktif-pasif; model predictive control; panel surya; penjejak matahari dua sumbu.
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA402 System analysis.
Q Science > QA Mathematics > QA9.64 Fuzzy logic
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL521.3 Automatic Control
Divisions: Faculty of Mathematics and Science > Mathematics > (S2) Master Theses
Depositing User: Ikhwan Muhammad
Date Deposited: 04 Jul 2018 08:09
Last Modified: 04 Jul 2018 08:09
URI: http://repository.its.ac.id/id/eprint/51985

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