Generalized predictive control applied to a pH neutralization process

ALTINTEN A.

COMPUTERS & CHEMICAL ENGINEERING, cilt.31, sa.10, ss.1199-1204, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 10
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.compchemeng.2006.10.005
  • Dergi Adı: COMPUTERS & CHEMICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1199-1204
  • Anahtar Kelimeler: generalized predictive control (GPC), pH control, genetic algorithms (GAs), GENETIC ALGORITHMS, DESIGN, PLANT
  • Gazi Üniversitesi Adresli: Evet

Özet

In this work, generalized predictive control (GPC) was applied to a pH neutralization process. The process consists of a continuous flow tubular reactor. The process stream is a water solution of acetic acid and the titrating stream is a water solution of sodium hydroxide. The aim of the control is to keep the pH value at a given set point value when the process is subjected to variations in feed flowrate. The use of polynomial autoregressive integral moving average with external input (ARIMAX) model related with pH and base flowrate was emphasized. The model parameters were determined by using Bierman and Genetic algorithms. The X weighting was varied in order to achieve optimal GPC performance. The efficiency of the GPC was observed by calculating the integral of the square of the error (ISE) and the integral of the absolute value of the error (IAE) from experimental results. (c) 2006 Elsevier Ltd. All rights reserved.