Optimasi Parameter Kontrol PID Pada Sistem Pengendalian Flow Rate Multiple Effect Evaporator Dengan Menggunakan Particle Swarm Optimization (PSO).

Laksono, Anung Nugroho Jaya (2014) Optimasi Parameter Kontrol PID Pada Sistem Pengendalian Flow Rate Multiple Effect Evaporator Dengan Menggunakan Particle Swarm Optimization (PSO). Sarjana thesis, Universitas Brawijaya.

Abstract

Sistem produksi dalam proses industri begitu kompleks, dan dinamis, sehingga proses sering mengalami kondisi yang kurang diharapkan karena kurangnya kemampuan sistem pengendalian dalam menjaga proses. Penelitian ini bertujuan untuk meningkatkan performansi kontrol PID dengan menambahkan faktor bobot inersia untuk meredam kecepatan dalam pencarian titik-titik optimal pada proses penguapan evaporator dan memodelkan evaporatornya. Optimasi parameter tuning kontrol PID menggunakan PSO (Particle Swarm Optimization) diharapkan mampu menangani sistem nonlinier evaporator dengan karakteristik respon undershoot yang sulit ditangani dan memperbaiki respon sistem dengan overshoot, rise time yang cukup lama dan besar. Prosedur perancangan dan simulasi tuning kontrol PID berdasarkan PSO meliputi 2 tahapan. Tahapan 1 pemodelan sistem, dilakukan dengan proses identifikasi berdasarkan data variabel plant pada evaporator. Tahapan yang kedua yaitu perancangan PSO sebagai tuning kontrol PID. Hasil penelitian menunjukkan PSO mampu memberikan peningkatan performansi tuning sistem pengendalian kontrol PID dalam meningkatkan respon sistem pada sistem pengendalian Multiple Effect Evaporator dengan rise time 0.01 detik, overshoot 3.35%, settling time 6.102 detik serta mampu memberikan respon undershoot plant MEE sebesar 28.11%. Dari analisa dengan metode tuning kontrol PID Ziegler-Nichols dapat dilihat dari segi settling time, overshoot, rise time, dan kesetabilan respon plant MEE, metode tuning kontrol PID dengan PSO mampu memperbaiki respon sistem plant MEE. Dari hasil penerapan pada plant MEE, PSO dengan penambahan bobot inersia w memberikan tuning yang lebih baik dibandingkan kontrol PID dengan metode Ziegler-Nichols dari kriteria max over shoot, rise time dan settling time sebesar 5.38%, 3.05 detik, 10.1 detik, dibanding metode tuning kontrol PID dengan PSO (3.35%, 0.01 detik, 6.102 detik).

English Abstract

Production systems in industrial processes are so complex, and dynamic, so the condition often experience less desirable because of the lack of ability to maintain process control systems. This study aims to improve the performance of PID control by adding a weighting factor of inertia to dampen the pace in search of optimal points in the evaporation process and evaporator evaporator model. Optimization of PID control tuning parameters using the PSO (Particle Swarm Optimization) is expected to handle nonlinear systems with evaporator undershoot response characteristics that are difficult to treat and improve the system response with overshoot, rise time is quite long and large. Procedure design and simulation of PID control tuning based PSO includes 2 stages. Stages 1 modeling system, performed with the identification process based on the data variables in the evaporator plant. The second is the design stages of PSO as tuning PID control. The results show the PSO is able to provide improved performance tuning PID control system to improve system response in Multiple Effect Evaporator control system with a rise time of 0.01 seconds, 3.35% overshoot, settling time of 6.102 seconds and was able to give a response undershoot MEE plant was 28.11%. From the analysis of the tuning method of Ziegler-Nichols PID control can be viewed in terms of settling time, overshoot, rise time, and the plant response MEE stability, tuning PID control method with PSO was able to improve the response of plant systems MEE. From the results of the application of the MEE plant, PSO with inertia weight w provides additional tuning better than the PID control by the Ziegler-Nichols method of max criteria over shoot, rise time and settling time of 5.38%, 3.05 seconds, 10.1 seconds, compared to tuning PID control method with PSO (3.35%, 0.01 seconds, 6,102 seconds).

Item Type:	Thesis (Sarjana)
Identification Number:	SKR/FTP/2014/443/051406745
Subjects:	300 Social sciences > 338 Production > 338.1 Agriculture
Divisions:	Fakultas Teknologi Pertanian > Keteknikan Pertanian
Depositing User:	Budi Wahyono Wahyono
Date Deposited:	15 Oct 2014 10:08
Last Modified:	22 May 2023 01:23
URI:	http://repository.ub.ac.id/id/eprint/149855

Text Anung Nugroho Jaya Laksono.pdf Download (3MB)

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