Perancangan Kontroler Pid Dengan Metode Particle Swarm Optimization Untuk Sistem Pengaturan Cascade Level Dan Flow Pada Plant PCT-100

Rahmadhani, Khoirus Fauzi (2022) Perancangan Kontroler Pid Dengan Metode Particle Swarm Optimization Untuk Sistem Pengaturan Cascade Level Dan Flow Pada Plant PCT-100. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam sistem kontrol proses industri skala besar, variabel yang sering dikontrol adalah level cairan, laju aliran, suhu, dan tekanan. Lebih dari 90% aplikasi kontrol industri menggunakan kontroler PID untuk pengendalian otomatis. Namun terdapat controller PID masih belum optimal terutama adanya disturbance berupa ketidakstabilan sehingga output juga berubah. Kelemahan dari kontroler konvensional tidak dapat diabaikan karena sebagian besar industri berfokus pada akurasi, margin keuntungan, dan waktu operasi. Tujuan dari tugas akhir ini adalah merancang algoritma tuning PID dengan metode particle swarm optimization pada sistem pengaturan cascade level dan flow. Pada Inner Loop diperoleh besaran Kp, Ki, dan Kd yang dituning dengan PSO sebesar 20.8441, 10.0045, dan 5.8969 dengan indeks performansi ITAE sebesar 0.6534 dan ISE 0.2022. Memiliki Karakteristik sistem max overshoot 0.567%, Rise time 0.1544 detik dan Settling time 0.2473 detik. Pada Outer Loop diperoleh besaran Kp, Ki, dan Kd yang dituning dengan PSO sebesar 68.4639, 1.8237, dan 10.2855 memiliki indeks performansi error ITAE sebesar 1.51 dan ISE sebesar 0.5841. Sistem tersebut mengalami max overshoot sebesar 1.4001%, Rise Time 2.0383 detik, dan Settling time 3.2569 detik. Pada implementasi nyata kontroler PID dituning dengan PSO mampu menanggulangi gangguan yang ditimbulkan oleh bukaan valve
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In large-scale industrial process control systems, the variables that are often controlled are liquid level, flow rate, temperature, and pressure. More than 90% of industrial control applications use PID controllers for automated control. However, there is a PID controller that is still not optimal, especially if there is a disturbance in the form of instability so that the output also changes. The disadvantages of conventional controllers cannot be ignored as most of the industry focuses on accuracy, profit margins and uptime. The aim of this final project is to design a PID tuning algorithm using the particle swarm optimization method for a cascade level and flow control system. In the Inner Loop, the Kp, Ki, and Kd values were adjusted with a PSO of 20.8441, 10.0045, and 5.8969 with an ITAE performance index of 0.6534 and an ISE of 0.2022. Has the characteristics of a max overshoot system of 0.567%, Rise time of 0.1544 seconds and Settling time of 0.2473 seconds. In the Outer Loop, the Kp, Ki, and Kd values were adjusted with PSO of 68.4639, 1.8237, and 10.2855 with an ITAE error performance index of 1.51 and an ISE of 0.5841. The system experienced a max overshoot of 1.4001%, Rise Time of 2.0383 seconds, and Settling time of 3.2569 seconds. In the real implementation of the PID controller tuned with PSO is able to overcome the disturbance caused by the valve opening

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Level, Flow, PID, Particle Swarm Optimization, Cascade, Level, Flow, PID, Particle Swarm Optimization, Cascade
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.585 TCP/IP (Computer network protocol) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Khoirus Fauzi Rahmadhani
Date Deposited:	06 Feb 2023 01:18
Last Modified:	06 Feb 2023 01:18
URI:	http://repository.its.ac.id/id/eprint/96193

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