Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Chemical Product and Process Modeling

Ed. by Sotudeh-Gharebagh, Rhamat / Mostoufi, Navid / Chaouki, Jamal

CiteScore 2017: 0.96

SCImago Journal Rank (SJR) 2017: 0.295
Source Normalized Impact per Paper (SNIP) 2017: 0.347

See all formats and pricing
More options …

Multirate Constrained Predictive Control: Algorithm and Experimental Results

Qiuping Hu / Sohrab Rohani
Published Online: 2007-09-05 | DOI: https://doi.org/10.2202/1934-2659.1064

Control of multirate systems is a challenging problem due to several reasons such as increased complexity in the design with tighter performance specifications. In this work, an algorithm for multirate constrained predictive control (MCPC) is presented. The multirate predictive control system includes a multirate state estimator, which provides inter-sample estimates of state variables of the process from infrequent and slow measurements. Constraints are addressed rigorously in this framework. The proposed design method is verified via simulation as well as experimentation. The results of the multirate predictive control for temperature control of a stirred tank system are shown and compared with those of a proportional integral (PI) control system.

Keywords: model predictive control; multirate; constraints

About the article

Published Online: 2007-09-05

Citation Information: Chemical Product and Process Modeling, Volume 2, Issue 3, ISSN (Online) 1934-2659, DOI: https://doi.org/10.2202/1934-2659.1064.

Export Citation

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston.Get Permission

Comments (0)

Please log in or register to comment.
Log in