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%. ================================================================================= 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) |
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| 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: | Mrs Anis Wulandari |
| Date Deposited: | 17 May 2017 04:33 |
| Last Modified: | 26 Dec 2018 07:56 |
| URI: | https://repository.its.ac.id/id/eprint/41301 |
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