Perancangan Sistem Pengendalian pada Kolom Distilasi Metanol-Air Berbasis Fuzzy Logic Control

Nano, Viko Dian (2020) Perancangan Sistem Pengendalian pada Kolom Distilasi Metanol-Air Berbasis Fuzzy Logic Control. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kemurnian metanol diperoleh melalui pemisahan komposisi campuran metanol dari air di dalam kolom distilasi. Pengendalian komposisi menjadi sangat penting, komposisi produk atas (distillate) dan produk bawah (bottom product) dijaga kestabilan agar sesuai dengan set point dengan memanipulasi laju aliran reflux (L) dan laju aliran steam reboiler (Qr). Sistem pengendalian komposisi pada kolom distilasi dikatakan sebagai sistem MIMO yang kompleks karena interaksi proses antara variabel yang dimanipulasi dan variabel yang dikontrol. Pada penelitian ini, sistem MIMO desentralisasi digunakan untuk memimalisir pengaruh perubahan manipulated variable yang mengubah kestabilan proses. Model pengendalian yang diusulkan adalah fuzzy logic control yang mempunyai sifat sesuai untuk sistem nonlinier. Fuzzy akan digunakan sebagai gain schedule untuk nilai parameter kontrol pada pengendali PID. Pengendali yang dirancang akan dibandingkan karakteristik respon antara pengendali PID konvensional dengan pengendali fuzzy tipe-1 gain schedule dan fuzzy tipe-2 gain schedule. Hasil didapatkan bahwa fuzzy tipe-1 gain schedule memiliki kestabilan sistem yang paling baik dibandingkan PID dan fuzzy tipe-2 gain schedule dengan nilai overshoot sebesar 24,31% pada komposisi distillate dan 13765% pada komposisi bottom product dengan rise time sebesar 3,19 detik dan 3,17 detik serta settling time masing-masing sebesar 52,32 detik dan 67,06 detik. Selain itu, pengendali fuzzy tipe-1 gain schedule juga tahan terhadap gangguan serta adaptif terhadap perubahan set point yang diberikan. ======================================================== The purity of methanol is obtained by separating the composition of the methanol mixture from water in the distillation column. Composition control is very important, the composition of the top product (distillate) and the bottom product (bottom product) is maintained stability to match the set point by manipulating the reflux flow rate (L) and the reboiler steam flow rate (Qr). The composition control system in the distillation column is said to be a complex MIMO system because of the interaction of the process between the variable being manipulated and the variable being controlled. In this study, the decentralized MIMO system was used to minimize the influence of changes in manipulated variables that change the stability of the process. The proposed control model is fuzzy logic control which is suitable for nonlinear systems. Fuzzy will be used as a gain schedule for the values of control parameters on the PID controller. The controller designed will compare the response characteristics between conventional PID controllers with fuzzy type-1 gain schedule and fuzzy type-2 gain schedule controllers. The results show that fuzzy type-1 gain schedule has the best system stability compared to PID and fuzzy type-2 gain schedule with an overshoot value of 24.31% in the distillate composition and 13765% in the bottom product composition with a rise time of 3.19 seconds and 3.17 seconds and the settling time of 52.32 seconds and 67.06 seconds respectively. In addition, the fuzzy type-1 gain schedule controller is also resistant to interference and adaptive to changes in a given set point.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: fuzzy gain schedule, komposisi, MIMO desentralisasi, PID
Subjects: Q Science > QA Mathematics > QA9.64 Fuzzy logic
T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Viko Dian Nano
Date Deposited: 25 Aug 2020 03:38
Last Modified: 25 Aug 2020 03:38
URI: https://repository.its.ac.id/id/eprint/79055

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