Abstract
This paper demonstrates use of Model Predictive Control (MPC) to system control with delay. Generalized Predictive Control (GPC) method was selected to demonstrate the ability to both control the system and compensate the measurable disturbance while bot the system and the disturbance are delayed. For the realization the MATLAB/SIMULINK program environment was used with system parameters based on the laboratory system. GPC method was chosen and its ability to compensate the outer disturbance with delay was verified by simulation of system control based on real laboratory model. Control algorithm and simulation were realized in MATLAB/SIMULINK program environment. Results have proven capabilities of GPC method to control and compensate error in stable, oscillatory and non-minimum phase systems with traffic delay. Additionally, real model parameters were selected to test a possibility of realization.
Keywords
- Model Predictive Control
- Generalize Predictive Control
- Model Predictive Control Algorithm
- Measurable Disturbance
- Disturbance Compensation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Preview
Unable to display preview. Download preview PDF.
References
Qin, S.J., Badgwell, T.A.: A survey of industrial model predictive control technology. Control Engineering Practice 11, 733–764 (2003)
Cutler, C.R., Ramaker, B.L.: Dynamic Matrix Control. In: Proc. Joint Automatic Control Conference, San Francisco, CA, paper WP5-B (1980)
Clarke, D.W., Mohtadi, C., Tuffs, P.S.: Generalized Predictive Control – Part I. The Basic Algorithm. Automatica 23, 137–148 (1987)
Morari, M., Lee, J.H.: Model predictive control: past, present and future. Computers & Chemical Engineering 23, 667–682 (1999)
Normey-Rico, J.E., Camacho, E.F.: Control of Dead-time Processes. Springer, London (2007)
Camacho, E.F., Bordons, C.: Model Predictive Control. Springer, London (2004)
Haber, R., Bars, R., Schmitz, U.: Predictive Control in Process Engineering: From basics to the applications. Wiley-VCH, Weinheim (2011)
Pawlowski, A., Guzmán, J.L., Normey-Rico, J.E., Berenguel, M.: Improving feedforward disturbance compensation capabilities in Generalized Predictive Control. Journal of Process Control 22, 527–539 (2012)
Pekař, L., Prokop, R., Dostálek, P.: Circuit heating plant model with internal delays. WSEAS Transactions on Systems and Control 8, 1093–1104 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Talaš, S., Bobál, V. (2014). Measurable Error Compensation with GPC in a Heat-Exchanger with a Traffic Delay. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rössler, O. (eds) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-319-07401-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-07401-6_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07400-9
Online ISBN: 978-3-319-07401-6
eBook Packages: EngineeringEngineering (R0)