State Space Model Predictive Control of an Aerothermic Process with Actuators Constraints

Autor:	Mustapha Ramzi, Hussein Youlal, Mohamed Haloua
Rok vydání:	2012
Předmět:	Engineering Linear inequality Model predictive control Data acquisition State-space representation Control theory business.industry Real-time Control System Process (computing) Control engineering Quadratic programming business Grid
Zdroj:	Intelligent Control and Automation. :50-58
ISSN:	2153-0661 2153-0653
DOI:	10.4236/ica.2012.31007
Popis:	This paper investigates State Space Model Predictive Control (SSMPC) of an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through a data acquisition system for real time control. The interaction between the process variables is shown to be challenging for single variable controllers, therefore multi-variable control is worth considering. A multi-variable state space model is obtained from on-line experimental data. The controller design is translated into a Quadratic Programming (QP) problem, in which a cost function subject to actuators linear inequality constraints is minimized. The outcome of the experimental results is that the main control objectives, such as set-point tracking and perturbations rejection under actuators constraints, are well achieved for both controlled variables simultaneously.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9189b1d720f3b237124717b66b6d7946 https://doi.org/10.4236/ica.2012.31007 Zobrazit plný text záznamu