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.
|Journal||IOP Conference Series: Materials Science and Engineering|
|Publication status||Published - 1 Apr 2020|
|Event||26th Regional Symposium on Chemical Engineering 2019 - Kuala Lumpur, Malaysia|
Duration: 30 Oct 2019 → 1 Nov 2019
ASJC Scopus subject areas
- Materials Science(all)