Aufa, Ardyas Nur (2020) Perancangan Smart Room System dengan Indikator Kenyamanan Suhu dan Pencahayaan Berbasis Kontrol Logika Fuzzy-PID (KLF-PID). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sering kita temui kasus pemakaian lampu dan AC secara tidak efektif. Ketika pencahayaan alami telah mencapai tingkatan yang sesuai SNI 03-6575-2001, yaitu 120-250 lux, tetapi menggunakan semua lampu di dalam ruangan. Ketika cuaca sedang panas, AC diatur dengan suhu paling rendah secara terus menerus, padahal suhu AC dapat disesuaikan dengan perubahan suhu ruangan, agar mencapai suhu yang sesuai SNI 03-6572-2001 yaitu 25±1℃. Oleh karena itu dilakukan perancangan Smart Room System dengan indikator kenyamanan suhu dan pencahayaan berbasis Kontrol Logika Fuzzy-PID (KLF-PID). Pengambilan data suhu menggunakan sensor DHT22. Komunikasi data menggunakan wireless-IR. Pendeteksi gerakan manusia menggunakan sensor PIR. Pengaturan jeda ON-OFF lampu menggunakan modul relay. Sistem kontrol suhu disimulasikan pada Matlab dengan respons sistem memiliki rise time 3,078 detik, peak time 3,103 detik, undershoot 24,87℃ (0,52%), dan settling time 3,056 detik. Dengan nilai akhir gain KLF-PID: Kp=2,379; Ki=0,9961; dan Kd=1,939. Sedangkan pengujian pada real pant menghasilkan respons sistem yang memiliki rise time 95 detik, peak time 110 detik, undershoot 24,6℃ (1,6%) dan settling time 82 detik. Dengan nilai akhir gain KLF-PID: Kp=2,35; Ki=1,5; dan Kd=1,76.
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Often, we encounter cases of ineffective use of lamps and air conditioners. When natural lighting has reached the appropriate level of SNI 03-6575-2001, which is 120-250 lux, but we use all the lights in the room. When the weather is hot, the air conditioner is set to the lowest temperature continuously, even though the temperature of the air conditioner can be adjusted to changes in room temperature, in order to reach the appropriate temperature SNI 03-6572-2001 which is 25 ± 1oC. Therefore, a Smart Room System design with a comfort indicator of temperature and lighting based on Fuzzy-PID Logic Control (KLF-PID) was carried out. Temperature data acquisition uses the DHT22 sensor. Data communication uses wireless-IR. Human motion detection uses a PIR sensor. The lamp ON-OFF pause setting uses a relay module. The temperature control system is simulated on Matlab with the system response having a rise time of 3.078 seconds, peak time of 3.103 seconds, overshoot of 24.87oC (0.52%), and settling time of 3.056 seconds. With the final value of the KLF-PID gain: Kp = 2,379; Ki = 0.9961; and Kd = 1,939. While testing on a real plant produces a system response that has a rise time of 95 seconds, a peak time of 110 seconds, an undershoot of 24.6 ° C (1.6%) and a settling time of 82 seconds. With the final value of KLF-PID gain: Kp = 2.35; Ki = 1.5; and Kd = 1.76.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 628.89 Auf p-1 2020 |
| Uncontrolled Keywords: | Smart Room System, Pencahayaan, Suhu, Kontrol Logika Fuzzy, PID, KLF-PID |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Ardyas Nur Aufa |
| Date Deposited: | 05 Dec 2024 03:01 |
| Last Modified: | 05 Dec 2024 03:01 |
| URI: | http://repository.its.ac.id/id/eprint/74113 |
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