Predictive function control based on multi-model for pH plant

A multi-model structure for predictive function control has been presented for a pH neutralisation process. The nonlinear pH process is partitioned into several local operating region. Within each region, a local predictive function controller is constructed based on the corresponding local linear model, their outputs are combined to form a global control action by using their membership functions. i.e. the global predictive function controller (GC-PFC) consists of a set of local model predictive function controller (LM-PFC) by weighting. The GC-PFC has been applied to quality control of a pH nonlinear process. Realistic simulation shows that GC-PFC is an attractive option for nonlinear MPC. Copyright (C) 2001 IFAC.