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System identification and control of Pressure Process Rig system using back propagation neural networks


Article Information

Title: System identification and control of Pressure Process Rig system using back propagation neural networks

Authors: Benyamin Kusumoputro, Karlisa Priandana, Wahidin Wahab

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 16

Language: English

Categories

Abstract

A neural networks based direct inverse controller for Pressure Process Rig system is presented, including with the performance analysis using an open-loop and a closed loop system. In order to enhanced the performance characteristics of this direct inverse controller, a Fine-Tuning method is proposed. Experimental results show that the open-loop system shows lower MSE compare with that of the closed-loop system, and the Fine-Tuned NN-DIC method always performed better with lower MSE compare with that of the normal NN-DIC method.


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