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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2004 / Cilt: 4 - Sayı: 2

Neural network based predictive control of a heat exchanger nonlinear process

Mahdi JALILI-KHARAAJOO
Babak N. ARAABI
Pages
1219–1226
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Obtained results demonstrate the effectiveness and superiority of the proposed approach.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a neural network based predictive controller is designed to govern the dynamics of a heat exchanger pilot plant.
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Key Findings & Data:Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a better match in a predictive control strategy.
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Conclusion & Impact:Obtained results demonstrate the effectiveness and superiority of the proposed approach.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, a neural network based predictive controller is designed to govern the dynamics of a heat exchanger pilot plant. Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a better match in a predictive control strategy. Advantages of neural networks for the process modeling are studied and a neural network based predictor is designed, trained and tested as a part of the predictive controller. The dynamics of the plant is identified using a Multi Layer Perceptron (MLP) neural network. The predictive control strategy based on the neural network model of the plant is applied then to achieve set point tracking of the output of the palnt. The performance of the proposed controller is compared with that of Generalized Predictive Control (GPC) through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach.

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Cite This Article

JALILI-KHARAAJOO, M., ARAABI, B. N. (2022). Neural network based predictive control of a heat exchanger nonlinear process. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1219–1226. https://ajindex.com/articles/543862

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