Construction, Modeling And Fuzzy Logic Control Of A Laboratory Scale Ph Neutralization System

  • Ayorinde Bamimore Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • A.F. Eludire Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • A Adedipe Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • J. Eyitayo Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • K. Oke Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • O. Oluleke Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • T. Taiwo Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • A.S. Osunleke Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
  • o. Taiwo Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife
Keywords: process control, Neutralization process, Nonlinear process control, Fuzzy control, PID, pH

Abstract

1115-9782 © 2018 Ife Journal of Technology      
http://www.ijtonline.org

 

Control of the pH neutralization process plays an important role in different chemical plants, such as biological, wastewater treatment, electrochemistry and precipitation plants. However, it is difficult to control a pH process with adequate performance due to its nonlinearities, time-varying properties and sensitivity to small disturbances when working near the equivalence point. For this purpose, modern process industries are increasingly relying on intelligent and adaptive control strategies such as fuzzy logic control. This research project deals with studies on the control of pH neutralization processes using fuzzy logic controllers. The fuzzy logic controller with a feedback control approach was implemented and a wide range of tests and experiments were conducted. Simulations results obtained revealed that fuzzy logic controller displays better closed-loop performance, in terms of set-point tracking and disturbance rejection.

Author Biographies

Ayorinde Bamimore, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

A.F. Eludire, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

A Adedipe, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

J. Eyitayo, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

K. Oke, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

O. Oluleke, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

T. Taiwo, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

A.S. Osunleke, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

o. Taiwo, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University, Ile-Ife

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How to Cite
Bamimore, A., Eludire, A., Adedipe, A., Eyitayo, J., Oke, K., Oluleke, O., Taiwo, T., Osunleke, A., & Taiwo, o. (1). Construction, Modeling And Fuzzy Logic Control Of A Laboratory Scale Ph Neutralization System. Ife Journal of Technology, 25(1), 50-54. Retrieved from http://ijt.oauife.edu.ng/index.php/ijt/article/view/138
Issue
Vol 25 No 1 (2018): Ife Journal of Technology Vol.25(1), 2018
Section
Articles - DO NOT USE