Document Type
Conference Paper
Rights
This item is available under a Creative Commons License for non-commercial use only
Abstract
A non-linear predictive controller is presented. It judiciously combines predictive controllers with a local model network utilizing a neural-network-like gating system. It avoids the time consuming quadratic optimization calculation, which is normally necessary in non-linear predictive control. A controller simulation on a Continuous Stirred Tank Reactor (CSTR) case study was shown to be satisfactory both in terms of set point tracking and regulation performance over the entire operating range. Moreover, the inherent integration action in the local predictive controller provides zero static offsets.
Recommended Citation
Gao, Ruiyao and O'Dwyer, Aidan and Coyle, Eugene : Model predictive control of CSTR based on local model networks. Proceedings of the Irish Signals and Systems Conference, pp. 397-402, University College Cork, June.
Publication Details
Proceedings of the Irish Signals and Systems Conference, pp. 397-402, University College Cork, June.