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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2006 / Cilt: 6 - Sayı: 2

Predictive control of a heat exchanger based on local fuzzy models and neural networks

S. Shams Abbad FARAHANI
M. A. NEKOUI
A. Yazdanpanah GOHARRIZI
Sayfa
129–138
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The performance of the proposed controller is compared with that of Local Linear Model Tree (LOLIMOT) through simulation studies.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This paper deals with identification and control of a highly nonlinear real world application.
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Temel Bulgular & Veri:The performance and applicability of the proposed methods are demonstrated for an industrial heat exchanger.
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Sonuç & Katkı:The performance of the proposed controller is compared with that of Local Linear Model Tree (LOLIMOT) through simulation studies.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

This paper deals with identification and control of a highly nonlinear real world application. The performance and applicability of the proposed methods are demonstrated for an industrial heat exchanger. The main difficulties for identification and control of this plant arise from the strongly nonlinear center. First, a neural network based predictive controller using Multi Layer Perceptron (MLP) is designed to govern the dynamics of a heat exchanger pilot plant. The performance of the proposed controller is compared with that of Local Linear Model Tree (LOLIMOT) through simulation studies.

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Bu Makaleye Atıf Yap

FARAHANI, S. S. A., NEKOUI, M. A., GOHARRIZI, A. Y. (2022). Predictive control of a heat exchanger based on local fuzzy models and neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 6 - Sayı: 2, 129–138. https://ajindex.com/articles/543821

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Kaynakça (14)

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