Sistem Pengontrol Water Coolant Dengan Metode PID

Denianto, Nefri (2021) Sistem Pengontrol Water Coolant Dengan Metode PID. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam proses milling, mesin CNC membutuhkan suatu cairan pendingin untuk mencegah agar komponen yang dipotong tidak mengalami kerusakan akibat korosi karena suhu yang terlalu panas. Masalah yang kami dapatkan di industri adalah kurangnya sistem yang mendukung untuk pengontrolan water coolant pada proses milling menjadikan kurang akurat dalam pengisian water coolant maupun cairan coolant murni.
Dalam pengujian ini, pembahasan berfokus pada cairan coolant. Akan tetapi, karena sensor pendeteksi kosentrasi tidak kompatibel maka cairan tersebut diganti dengan air garam. Metode pengambilan data yang kami pakai yaitu regresi linier untuk sensor ultrasonik dan untuk sensor salinitas menggunakan metode scalling, sedangkan untuk metode pengendaliannya menggunakan PID kontroler dengan penalaan Ziegler-Nichols 1.
Dari hasil penelaan didapatkan nilai PID yaitu Kp = 17,24, Ki = 410,47 dan Kd = 0,18. Pengujian kedua adalah dengan hanya menggunakan parameter PI yaitu Kp = 12,9 dan Ki = 204,76. Dari hasil perbandingan PID, PI, dan Tunning otomatis, PID kontroler lebih unggul, meskipun hanya dengan perbedaan 0,1 dan 0,2 cm pada level dan selisih 1 % pada konsentrasi coolant. Akan tetapi, jika perbandingan dengan menggunakan tenaga manusia atau manual, metode PID kontroler lebih akurat.
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In the milling process, CNC machines require a coolant to prevent the cut components from being damaged by corrosion due to overheating. The problem we get in the industry is the lack of a system that supports water coolant control in the milling process, making it less accurate in filling water coolant and pure coolant liquid.
In this test, the discussion focuses on the coolant fluid. However, because the concentration detection sensor is not compatible, the liquid is replaced with salt water. The data collection method that we use is linear regression for the ultrasonic sensor and for the salinity sensor using the scaling method, while for the control method using a PID controller with Ziegler-Nichols tuning 1.
From the results of the analysis, the PID value is Kp = 17.24, Ki = 410 .47 and Kd = 0.18. The second test is to use only the PI parameters, namely Kp = 12.9 and Ki = 204.76. From the comparison results of PID, PI, and automatic tuning, the PID controller is superior, although only with a difference of 0.1 and 0.2 cm in the level and a difference of 1% in the coolant concentration. However, if the comparison is using human or manual labor, the PID controller method is more accurate.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	coolant, PID kontroler, regresi linier, salinitas, scalling, Ziegler-Nichols. coolant, linear regression, PID controller, salinity, scaling, Ziegler-Nichols.
Subjects:	H Social Sciences > HA Statistics > HA31.3 Regression. Correlation Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression T Technology > TD Environmental technology. Sanitary engineering > TD479.3 Saline water conversion T Technology > TJ Mechanical engineering and machinery > TJ1225 Milling machines numerically controlled T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Nefri Denianto
Date Deposited:	25 Aug 2021 08:02
Last Modified:	25 Aug 2021 08:02
URI:	http://repository.its.ac.id/id/eprint/90100

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