Rancang Bangun Sistem Pengendalian pH dengan Menggunakan Neural Network Berbasis Tracking Control System

Triyatno, Deny (2006) Rancang Bangun Sistem Pengendalian pH dengan Menggunakan Neural Network Berbasis Tracking Control System. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 2401100072-Undergraduate_Thesis.pdf - Accepted Version Download (14MB)

Abstract

pH mempunyai pengaruh pada proses-proses industri, misalnya proses pengolahan farmasi, bioteknologi, proses kimia, serta pemrosesan pembuangan limbah buangan. Salah satu cara untuk mengendalikan pH adalah dengan volumetri atau titrasi dengan menggunakan larutan asam dan larutan basa. Dari data proses titrasi didapatkan kurva titrasi yang nonlinier, karena hubungan yang logaritmik antara harga pH dan volume larutan penetral. Di luar range larutan netral (pH = 7) maka gain prosesnya relatif kecil, namun jika didalam range larutan netral maka gain prosesnya sangat besar. Oleh karena itu merupakan salah satu alasan mengapa penggunaan pengendali PID konvensional dapat menimbulkan kegagalan pada suatu system pengendaliannya. Pada penelitian ini dirancang sebuah system pengendalian pH sengan menggunakan sebuah system pengendalian pH dengan menggunakan Neural Network berbasis Tracking Control System. Sistem kontrol yang dikembangkan mampu menghasilkan performansi untuk set point 7 sehinngga didapatkan nilai Rise Time (I'r) = 20 detik, maksimum overshoot (Mp) =33, 72%, Selling Time (I's) =190 detik dan Error steady state (Ess) = 0,8% sedangkan untuk set point 6 didapat nilai perfomansi sistem yakni Tr = 12 detik, Mp = 33,45%, Ts= 146 detik dan Ess = 6,5%.
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pH has an effect for industrial processes, for example in a pharmaceutical process, biotechnology, chemical process and liquid waste disposal processing process. One of many ways to control pH value is using acid and base volumetric or titration. Non linear titration curve is gotten by titration process, because pH value and neutralizing solution are logarithmic function. Out of neutral solution range(pH=7), the process gain is small relatively, but in neutral solution range the process gain is big. Because of that the reason why PID conventional controller can make mistake in a control system. In this research will design a pH control system using Neural Network controller based Tracking Control System. The control system which has been designed is able to perform a system performance for pH = 7 as a set point as written given Rise Time (I'r) = 20 second, maximum overshoot (Mp)=33, 72%, Selling Time (I's)=190 second and E"or steady state (Ess) = 0,8% but for pH = 6 as a set point given a system performance that Tr = 12 second, Mp = 33,45%, Ts= 146 second and Ess = 6,5%.

Item Type:	Thesis (Other)
Additional Information:	RSF 629.89 Tri r-1 2006
Uncontrolled Keywords:	Neural Network, nonlinier, pH, Tracking Control
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Totok Setiawan
Date Deposited:	20 Feb 2025 02:03
Last Modified:	20 Feb 2025 02:03
URI:	http://repository.its.ac.id/id/eprint/118814

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