Self-tuning controller for non-linear processes described by set of local linear models

摘要

The self-tuning non-linear controller is intended for control of a class of non-linear processes that may be represented by a fuzzy set of low-order local linear models that are selected using a scheduling variable. The model is obtained by means of experimental modelling using a special on-line learning procedure combining model identification with pre- and post-identification steps that provide reliable operation. There is a choice of several novel control algorithms suitable for different processes that may be used for control and whose parameters are automatically tuned from the model. The controller monitors the resulting control performance and may react to detected irregularities. The controller is suitable for implementation on hardware platforms such as programmable logic or open controllers.