Model predictive control of CSTR based on local model networks

Authors

Ruiyao Gao, Technological University Dublin
Aidan O'Dwyer, Technological University DublinFollow
Eugene Coyle, Technological University Dublin

Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Publication Details

Proceedings of the Irish Signals and Systems Conference, pp. 397-402, University College Cork, June.

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.

DOI

https://doi.org/10.21427/gf65-xc13

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. doi:10.21427/gf65-xc13