Fathoni, Febrian (2016) Model Predictive Control (MPC) Berbasis Model Fuzzy Takagi Sugeno Untuk Pengaturan Temperatur Heat-Exchanger. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Heat Exchanger merupakan suatu alat proses pertukaran panas,
berfungsi untuk memindahkan panas antara dua fluida yang berbeda
temperatur dan dipisahkan oleh suatu sekat pemisah. Pada proses kerja
heat exchanger pengalami permasalahan terhadap time delay sehingga
dibutuhkan pengendali yang mampu mengatasi time delay dan dapat
mengefesiensi sumber energi yang tersedia benar-benar dapat lebih
efisien agar tidak terdapat energi yang terbuang. Model Predictive
Control (MPC) berbasis model Fuzzy Takagi Sugeno telah berhasil
diaplikasikan di berbagai industri proses, karena kemampuannya untuk
mengatasi berbagai masalah banyak variabel kontrol seperti interaksi,
waktu tunda dan batasan. Pada Tugas Akhir ini akan dibahas tentang
simulasi pengendalian temperatur fluida pada Heat Exchanger dengan
menggunakan MPC dengan model berbasis fuzzy takagi sugeno . Hasil
aplikasi pada pengendali temperatur fluida tersebut ditunjukkan dalam
bentuk simulasi menggunakan MATLAB, yang digunakan untuk
menganalisa kinerja dari metode MPC dengan model fuzzy takagi
sugeno. Kinerja yang dihasilkan diperlihatkan oleh beberapa hasil
simulasi. Pengendalian terhadap pendekatan linear plant dengan
kontroler MPC berbasis model fuzzy takagi sugeno menggunakan
parameter Np (prediksi horizon)= 10, Nc (kontrol horizon)= 2, matriks
pembobot ̅=1, dengan kombinasi bobot faktor kesalahan , dengan
1,02 disaat hasil prediksi dibawah 40°C serta 1,03 disaat hasil prediksi
diatas 40°C dapat menghasilkan respons yang stabil tanpa adanya ripple,
overshoot dengan rata-rata 0,24% dengan perbaikan kesalahan sebesar
0,95% terhadap yang tetap, dengan error 1,2%.
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Heat Exchanger is a processing instrument, had function for
transferring heat between 2 fluids of different temperatur and they had
been divided by a partition. The heat exchange processing has delay
time so it takes controllers are able to overcome the time delay and
efficient sources of energy available can actually be more efficient so
there is no wasted energy. Model Predictive Control (MPC) with based
Fuzzy Takagi Sugeno model had been successfully applied in various
industrial processes cause its ability to solve a variety of a lot of
problem variable controls such as interaction, delay time, and
restrictions. In this last task is studied about fluide temperatur
controlling simulation of heat exchange using MPC with based fuzzy
takagi sugeno model. Application result of those fluide temperatur
controlling is shown as simulation of MATLAB, that is used for analize
ability using MPC with based fuzzy takagi sugeno model method. This
ability is shown by some simulation results. Control of plant linear
limited using MPC with based fuzzy takagi sugeno model controller
parameter Np (horizon prediction) = 10 Nc (horizon control) = 2
balancing matrices ̅=1, and with combination setting factor balancing
error , with 1,02 while result prediction under temperatures 40°C and
1,03 while result prediction upper 40°C, can give stabil response
without ripple, overshoot with avarege 0,24% and improvement error
0,95% from fixed, with error 1,2%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 621.402 5 Fat m |
| Uncontrolled Keywords: | Heat Exchanger; Model Predictive Kontrol (MPC); Fuzzy Takagi Sugeno |
| Subjects: | Q Science > QA Mathematics > QA248_Fuzzy Sets T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Anis Wulandari |
| Date Deposited: | 17 May 2017 04:33 |
| Last Modified: | 26 Dec 2018 07:56 |
| URI: | http://repository.its.ac.id/id/eprint/41301 |
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