Abstract
A multi-model structure for predictive function control has been presented for a pH neutralisation process. The non linear 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 non linear process. Realistic simulation shows that GC-PFC is an attractive option for non linear MPC.
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