Aisyah, Nadia (2019) Perancangan Cascade Close Loop Control Pada Solar Tracker Berbasis PSO-Modified Fuzzy Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Solar tracker terbagi menjadi 2 tipe berdasarkan pergerakkannya yaitu berbasis pasif dan aktif. Pada aktif tracker mengukur intensitas cahaya matahari dengan menggunakan sensor cahaya untuk mengetahui matahari berada pada suatu titik, sedangkan pasif tracker tidak menggunakan pengukuran langsung melainkan berdasarkan perhitungan astronomi. Kontrol yang digunakan pada sistem solar tracker kali ini ialah cascade close loop berbasis PSO-modified fuzzy algorithm yang kemudian akan dibandingkan dengan solar tracker menggunakan kontrol fuzzy. Setelah dilakukan pengujian set point didapatkan hasil terbaik pada kontrol fuzzy yang telah dioptimasi dengan particle swarm optimization (PSO) dengan menggunakan membership function 5 pada sudut pitch 80o dengan indeks performansi yaitu maximum overshoot 0%, rise time 0,2564 s, settling time 0,4755 s, dan error steady state 0,0002%. Sedangkan pada membership function 5 pada sudut yaw 90o dengan indeks performansi yaitu maximum overshoot 0%, rise time 0,5749 s, settling time 0,9785 s, error steady state 0,0004%. Kenaikan pada efisiensi gross energi gain sebesar 70,75 Wh atau sebesar 86,03% dan nilai efisiensi netto energi gain sebesar 78,52% dari photovoltaic fixed. =============================================================================================================================
Solar tracker is divided to 2 types based on the movement that is passive and active. The active tracker measure the intensity of sun by using a light sensor to find the point of sun, while passive tracker doesn’t use direct measurements but based on astronomical calculations. In this research, the control used in the solar tracker system is the cascade close loop based on PSO-modified fuzzy algorithm which will then be compared with the solar tracker using fuzzy control. After testing the set point, the best results were obtained on fuzzy control which was optimized by particle swarm optimization (PSO) by using membership function 5 at a pitch angle of 80o with a performance index of maximum overshoot 0%, rise time 0.2564 s, settling time 0,4755 s, and steady state error 0,0002%. Whereas at membership function 5 at yaw 90o angle with performance index that is maximum overshoot 0%, rise time 0.5749 s, settling time 0.9785 s, error steady state 0.0004%. The increase in the efficiency of gross energy gain is 70.75 Wh or equal to 86.03% and the net energy efficiency gain of 78.52% from photovoltaic fixed.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Solar Tracker, Cascade, Fuzzy, Particle Swarm Optimization |
| Subjects: | Q Science Q Science > Q Science (General) T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Aisyah Nadia |
| Date Deposited: | 13 Nov 2024 02:56 |
| Last Modified: | 13 Nov 2024 02:56 |
| URI: | http://repository.its.ac.id/id/eprint/69196 |
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