Disain Pengendali Prediktif pada Sistem HVAC Berbasis Model Hammerstein Bilinear = Design of Hammerstein-Bilinear Model Based Predictive Controller for HVAC Systems
Iput Kasiyanto;
Aries Subiantoro, supervisor; Benyamin Kusumoputro, examiner; Feri Yusifar, examiner; Abdul Halim, examiner
(Fakultas Teknik Universitas Indonesia, 2021)
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Pemanasan global dan meningkatnya standar hidup manusia merupakan faktorpendorong yang menyebabkan naiknya konsumsi energi untuk sistem HVAC. Peningkatanteknologi HVAC yang mampu mengurangi konsumsi energi sektor bangunan, meskipunkecil akan memberikan dampak yang signifikan bagi konsumsi energi secara agregat absolut. Pendekatan bilinier dalam pemodelan dan kendali sistem HVAC sudah banyak dilakukan baik secara teori maupun praktis dan terbukti memiliki banyak kelebihan.Sistem HVAC berbasis Hammerstein-bilinear diturunkan secara matematis danberhasil diidentifikasi dengan struktur model linier OE sebagai dua buah sistem MISO dalamtesis ini. Metode identifikasi yang penulis gunakan adalah algoritma pseudo-linear regression dan least-square. Model linier tersebut kemudian digunakan sebagai plant model padadisain kendali model prediktif. Kinerja pengendali prediktif memberikan hasil yang memuaskan dan terbukti mampu memenuhi tujuan pengendalian yang diinginkan. Kinerja pengendali prediktif lebih baik daripada pengendali PI pada kasus lup kendali suhu, sebaliknya untuk kendali kelembaban kinerja pengendali PI lebih memuaskan. Global warming and increasing human standard of living are the driving factorsleading to increased energy consumption for HVAC systems. Enhanced HVAC technologythat can reduce energy consumption in the building sector, despite of small amount, it willhave a significant impact on energy consumption’s absolute aggregate. The bilinear approach to modeling and control of HVAC systems has been done both theoretically andpractically and has proven to have many advantages.An HVAC system based on Hammerstein-bilinear was derived mathematically andwas identified using an OE linear model structure as two MISO systems in this thesis. Theidentification methods adopted by the author were pseudo-linear regression and least-squarealgorithm. The linear models were subsequently used as plant models in the predictive modelcontrol design. The predictive controllers’ performance gave satisfying results and wasproven being able to meet the desired control objectives. The predictive controller gavebetter performance than the PI controller in the case of temperature control loop, on the contrary, for humidity control the PI’s performance was more satisfying. |
 T-Iput Kasiyanto .pdf :: Unduh
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| No. Panggil : | T-Pdf |
| Entri utama-Nama orang : | |
| Entri tambahan-Nama orang : | |
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| Subjek : | |
| Penerbitan : | Depok: Fakultas Teknik Universitas Indonesia, 2021 |
| Program Studi : |
| Bahasa : | ind |
| Sumber Pengatalogan : | LibUI ind rda |
| Tipe Konten : | text |
| Tipe Media : | computer |
| Tipe Carrier : | online resource |
| Deskripsi Fisik : | xiii, 68 pages : illustration ; appendix |
| Naskah Ringkas : | |
| Lembaga Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI |
| No. Panggil | No. Barkod | Ketersediaan |
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| T-Pdf | 15-22-84903832 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20514273 |
