SIMULASI PENGENDALIAN TEMPERATUR PADA HEAT EXCHANGER MENGGUNAKAN TEKNIK NEURO-FUZZY ADAPTIF

Tags:

Publication Type:

Journal Article

Source:

Jurnal Teknologi, Volume 8, Number 2 (2015)

Keywords:

heat exchanger, intelligent control, Neuro-fuzzy, predictive control

Abstract:

This paper presents a simulation of heat exchanger temperature controlling using adaptive neuro-fuzzy technique. Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a better match in a predictive control strategy. An adaptive neuro-fuzzy based predictive controller is designed to govern the dynamics of a heat exchanger pilot plant. Advantages of neural networks and fuzzy logics for the process modeling are studied and a neuro-fuzzy based predictor is designed, trained and tested as a part of the predictive controller. The dynamics of the plant is identified using a backpropagation neural network. The predictive control strategy based on the neuro-fuzzy model of the plant is applied then to achieve set point tracking of the output of the plant. Simulations have been carried out using the Matlab-Simulink software. Obtained results demonstrate the effectiveness and superiority of the proposed approach.

AttachmentSize
160-168_syahputra.pdf483.19 KB

(c) 2009 Jurnal teknologi FTI IST AKPRIND
Developed by UPT PUSKOM IST AKPRIND

Who's online

There are currently 0 users and 20 guests online.