Please use this identifier to cite or link to this item:
Title: Enhanced predictive ratio control of interacting systems
Authors: Nguyen, M.H.T.
Tan, K.K. 
Huang, S. 
Keywords: Interacting system
Model predictive control
Ratio control
Issue Date: Aug-2011
Citation: Nguyen, M.H.T., Tan, K.K., Huang, S. (2011-08). Enhanced predictive ratio control of interacting systems. Journal of Process Control 21 (7) : 1115-1125. ScholarBank@NUS Repository.
Abstract: Ratio control for two interacting processes is proposed with a PID feedforward design based on model predictive control (MPC) scheme. At each sampling instant, the MPC control action minimizes a state-dependent performance index associated with a PID-type state vector, thus yielding a PID-type control structure. Compared to the standard MPC formulations with separated single-variable control, such a control action allows one to take into account the non-uniformity of the two process outputs. After reformulating the MPC control law as a PID control law, we provide conditions for prediction horizon and weighting matrices so that the closed-loop control is asymptotically stable, and show the effectiveness of the approach with simulation and experiment results. © 2011 Elsevier Ltd.
Source Title: Journal of Process Control
ISSN: 09591524
DOI: 10.1016/j.jprocont.2011.04.002
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.