Special Issue Paper
Prioritized constraint handling NMPC using Volterra series models
Article first published online: 1 OCT 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Optimal Control Applications and Methods
Special Issue: Optimal Process Control
Volume 31, Issue 5, pages 415–432, September/October 2010
How to Cite
Aliyev, T. L. and Gatzke, E. P. (2010), Prioritized constraint handling NMPC using Volterra series models. Optim. Control Appl. Meth., 31: 415–432. doi: 10.1002/oca.958
- Issue published online: 14 OCT 2010
- Article first published online: 1 OCT 2010
- Manuscript Accepted: 6 JUL 2010
- Manuscript Revised: 11 JUN 2010
- Manuscript Received: 6 MAY 2010
- Nonlinear Model Predictive Control;
This paper presents a nonsquare Nonlinear Model Predictive Control (NMPC) formulation that uses prioritized soft output constraints and hard input constraints. The proposed method uses empirical Volterra series models to represent the plant dynamics and is a closed loop tested on multivariable refinery facility simulation. The process exhibits significant open-loop nonlinearity such as input steady-state multiplicity and nonlinear dynamics near the nominal operating point. The results show improvement when compared with traditional linear control methods. Copyright © 2010 John Wiley & Sons, Ltd.