Desain Kontroler Cascade PID Genetic Algorithm untuk Pengaturan Level-Flow tangki PCT-100

Yektianto, Hakhi Gya (2023) Desain Kontroler Cascade PID Genetic Algorithm untuk Pengaturan Level-Flow tangki PCT-100. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam industri banyak yang menggunakan fluida (cairan) sebagai bahan pada proses pengolahannya. Pada proses yang berhubungan fluida sering dijumpai sistem pengaturan level dan flow untuk fluida. Dalam pengaturan level, untuk mendapatkan kinnerja yang optimal banyak proses industri yang menggunakan PID kontroler. Akan tetapi kontroler PID konvensional kurang mampu menangani perubahan pada variabel manipulasi yaitu berupa gangguan debit input pada sistem pengaturan level. Sehingga dibutuhkan konfigurasi cascade flow dan level untuk menagani permasalahan tersebut. Sistem pengaturan cascade pada umumnya masih menggunakan kontroler PID untuk mengatur flow dan level. Untuk dapat mendapatkan parameter PID pada konfigurasi cascade diperlukan perhitungan yang rumit jika menggunakan metode tuning konvensional. Selain itu hasil tuning secara konvensional belum tentu menghasilkan performa yang diinginkan karena sistem cascade yang kompleks. Oleh karena itu digunakan metode pengaturan PID berbasis Genetic Algorithm (GA) untuk melakukan optimisasi tuning parameter kontroler PID cascade. Kontroler cascade PID-GA mampu memenuhi spesifikasi level air yang diinginkan, yaitu overshoot < 5%, error steady state 0% dan settling time < 120 detik. Selain itu sistem dengan konfigurasi cascade memiliki dampak gangguan lebih kecil daripada sistem tanpa konfigurasi cascade.
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In industry, many use fluid (liquid) as an ingredient in the processing process. In fluid-related processes, level and flow control systems are often found for fluids. In the control level, to get optimal performance, many industrial processes use PID controllers. However, conventional PID controllers are less able to handle changes in the manipulated variables, namely in the form of input discharge disturbances in the level setting system. So that cascade flow and level configurations are needed to handle this problem. Cascade control systems generally still use a PID controller to control flow and level. To get the PID parameters in the cascade configuration, complicated calculations are needed when using conventional tuning methods. In addition, conventional tuning results may not necessarily get the desired performance because of the complexity cascade system. Therefore, a Genetic Algorithm (GA) based PID adjustment method is used to optimize the cascade PID controller parameter tuning. The PID-GA cascade controller can meet the desired water level specifications, namely 5% overshoot, 0% steady state error and settling time < 120 seconds. In addition, a system with a cascade configuration has a better response than a system without a cascade configuration.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Cascade, Flow, Genetic Algorithm, Level, PID, Cascade, Flow, Genetic Algorithm, Level, PID
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Hakhi Gya yektianto
Date Deposited:	29 Jul 2023 02:23
Last Modified:	29 Jul 2023 02:23
URI:	http://repository.its.ac.id/id/eprint/99703

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