Offset-free control of a pH system using Multiple Model Predictive Control

A. W. Hermansson, S. Syafiie

Research output: Contribution to journalConference article

Abstract

In this paper, a novel combination of a multi-model predictive controller (MMPC) and an adaptive integral controller is usedto achieve offset-free control of a nonlinear process. The idea is to avoid the more complex tuning that comes with an offset-free control based on an observer. To create an easily tuned controller based on a piecewise linear (PWL) description of an MPC setup, which utilizes a Bayesian weighting approach. The PWL models are also used to design the separate the I-controller that is made adaptive by using the Bayesian weighting again. The MPC and the I-controller are then acting in parallel. The setup is implemented and tested using a simulation of a pH neutralization process.

Original languageEnglish
Article number012072
JournalIOP Conference Series: Materials Science and Engineering
Volume778
DOIs
Publication statusPublished - 1 Apr 2020
Event26th Regional Symposium on Chemical Engineering 2019 - Kuala Lumpur, Malaysia
Duration: 30 Oct 20191 Nov 2019

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'Offset-free control of a pH system using Multiple Model Predictive Control'. Together they form a unique fingerprint.

  • Cite this