System identification and control of pressure process rig® system using backpropagation neural networks

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18 Citations (Scopus)

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 enhance 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.

Original languageEnglish
Pages (from-to)7190-7195
Number of pages6
JournalARPN Journal of Engineering and Applied Sciences
Volume10
Issue number16
Publication statusPublished - 18 Nov 2015

Keywords

  • Back propagation learning
  • Direct inverse controller
  • Fine-tuned DIC method
  • Neural networks

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