Output Constraint Handling in Analytical MPC Algorithms Based on Hammerstein Models with Presumed Trajectory of Future Control Changes

Piotr Marusak

Abstract

Novel numerically efficient, analytical MPC algorithms based on Hammerstein (nonlinear) models are proposed in the paper. They use the idea consisting in the assumption that the shape of a trajectory of future changes of a control signal is presumed in advance. In the proposed algorithms it is relatively easy to take output constraints into consideration on the entire prediction horizon. Thus, the constraint handling is very efficient because the control action can be appropriately modified many sampling instants before the potential constraint violation can occur.
Author Piotr Marusak IAiIS
Piotr Marusak,,
- The Institute of Control and Computation Engineering
Pages351-361
Publication size in sheets0.5
Book Szewczyk Roman, Kaliczyńska Małgorzata, Zieliński Cezary: Challenges in Automation, Robotics and Measurement Techniques. Proceedings of AUTOMATION-2016, March 2-4, 2016, Warsaw, Poland, Advances in Intelligent Systems and Computing, vol. 440, 2016, Springer International Publishing, ISBN 978-3-319-29356-1, [978-3-319-29357-8], 919 p., DOI:10.1007/978-3-319-29357-8
Keywords in EnglishPredictive control Nonlinear control Constrained control Hammerstein models
DOIDOI:10.1007/978-3-319-29357-8_32
URL http://link.springer.com/chapter/10.1007/978-3-319-29357-8_32
projectDevelopment of methodology of control, decision support and production management. Project leader: Zieliński Cezary, , Phone: 5102, start date 19-05-2015, end date 31-12-2016, 504/02233/1031, Completed
WEiTI Działalność statutowa
Languageen angielski
File
marusak automation_2016.pdf (file archived - login or check accessibility on faculty) marusak automation_2016.pdf 119.51 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
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