Fahrizal, Moch. Aan (2019) Pengaturan Tekanan Menggunakan Self Tuning Regulator Berbasis Model Fuzzy Takagi Sugeno. Other thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
07111745000033-Undergraduate_Theses.pdf Download (2MB) | Preview |
Abstract
Dalam dunia industri, udara bertekanan diterapkan pada sistem pengaturan proses, biasanya digunakan pada sistem yang menggunakan pneumatik. Dalam proses industri udara bertekanan merupakan salah satu variabel yang dikontrol dan saling berkaitan dengan variabel lainnya. Permasalahan yang sering terjadi pada sistem pengaturan proses yaitu sering terjadinya perubahan beban, karena perubahan beban tersebut variabel udara betekanan akan berubah sehingga akan menyebabkan perubahan proses. Oleh karena itu diper-lukan sebuah kontroler yang dapat mengatasi perubahan beban pada sistem pengaturan proses. Pada penelitian Tugas Akhir ini dilakukan penelitian mengenai perancangan kontroler self tuning regulator dengan model fuzzy Takagi Sugeno yang dimana kontroler diharapkan mam-pu mengatasi perubahan beban pada proses. Penelitian ini diterapkan pada trainer Pressure Process Rig 38-714 dari hasil penelitian ini didapatkan bahwa kontroler mampu mendekati spesifikasi yang di-inginkan yaitu pada kondisi beban nominal dengan nilai error steady state 0,55%, settling time sebesar 92 detik, tidak ada overshoot, dan pada kondisi perubahan beban nilai error steady state 0,36%, kenaikan tekanan sebesar 24,03% dengan recovery time selama 130,2 detik, penurunan tekanan 20,5% dengan recovery time selama 139 detik. Pengujian pada kondisi perubahan beban waktu transien kontroler mampu mendekati spesifikasi yang diinginkan yaitu dengan error steady state 0,56%, penurunan tekanan 12,75% dengan recovery time selama 117,58 detik.
===============================================================================================================================
In the industrial world, compressed air is applied to process control systems, usually used on systems that use pneumatics. in indus-trial processes, compressed air is one variable that is controlled and interrelated with other variables. the problem that often occurs in pro-cess control systems is the frequent changes in load, because changes in the load pressurized air variable will change so that it causes pro-cess change. Therefore, a controller is needed that can overcome changes in load in the process control system. In this final assignment research, a research on the design of self tuning regulator controller based on the fuzzy Takagi Sugeno model, where the controller is ex-pected to be able to overcome the load changes in the process. this re-search applied to the Pressure Process Rig 38-714, the results of this study showed that the controller is able to approach the desired speci-fications are at nominal load conditions with steady state error value by 0.55%, settling time of 92 seconds, no overshoot, and in the condi-tion of load changes the steady state error value is 0.36%, increasing the pressure is 24.03% with recovery time of 130.2 seconds, pressure drop is 20.5% with recovery time of 139 seconds. Tests on load change conditions when the transient controller is able to approach the de-sired specifications with a steady state error of 0.56%, a pressure drop of 12.75% with recovery time of 117.58 seconds.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSE 621.381 54 Fah p-1 2019 |
| Uncontrolled Keywords: | Sistem pengaturan proses, self tuning regulator, fuzzy Takagi Sugeno, Pressure Process Rig 38-714 |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.585 TCP/IP (Computer network protocol) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Moch. Aan Fahrizal |
| Date Deposited: | 14 Mar 2023 02:29 |
| Last Modified: | 14 Mar 2023 02:29 |
| URI: | http://repository.its.ac.id/id/eprint/63694 |
Actions (login required)
 |
View Item |