International Journal of Engineering, Science and Mathematics
  • Year: 2018
  • Volume: 7
  • Issue: 3

Process modeling and control of nonlinear ph process using hammersteinwienermodel and model predictive control

  • Author:
  • M. Nandhini1, M. Florance Mary2,, R. Ananda Natarajan3
  • Total Page Count: 13
  • Page Number: 237 to 249

1Research Scholar, Dept. of EEE, Pondicherry Engineering College, Puducherry, India

2Assistant Professor, Dept. of EIE, Pondicherry Engineering College, Puducherry, India

3Professor, Dept. of EIE, Pondicherry Engineering College, Puducherry, India

*Author correspondence: M. Florance Mary, Dept. of Electronics and Instrumentation Engineering, Pondicherry Engineering College, Puducherry-14

Online published on 4 May, 2019.

Abstract

Efficient Hammerstein Wiener model can be determined by considering fitness of the model, loss function value and final prediction error. Using these data the model which best fits the process can be determined. A model based controller that uses Hammerstein Wiener model as the internal model for a nonlinear MPC as Hammerstein based Model Predictive Controller (HMPC) is used in controlling pH neutralization process. The simulation results show that Hammerstein based Model Predictive Controller (HMPC) outperforms linear Model Predictive Controller (MPC) for control of pH process.

Keywords

Hammerstein Wiener model, Model Predictive Controller, pH neutralization process