A robust LQR-MPC control strategy with input constraints and control zones. (April 2018)

• Record Type: Journal Article
• Authors: Capron, Bruno Didier Olivier; Odloak, Darci
• Is Part Of: Journal of process control. Volume 64(2018)
• Page Start: 89
• Page End: 99
• Publication Date: 2018-04
• Subjects: Model predictive control -- State feedback control -- Multi-model system -- Robust control; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2018.02.008
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: Robust control of systems with model uncertainty. Combination of Linear Quadratic Regulator with Model Predictive Control. Multi-model representation is considered. Approach can be applied to unstable systems. Abstract: In this paper, the robust control of a class of uncertain process systems with stable and unstable outputs that considers input constraints and control zones is addressed. In the proposed approach, a robust Linear Quadratic Regulator (LQR) controls the system outputs by manipulating the systems inputs and a robust Model Predictive Control (MPC) manipulates the output set-points to maintain the system outputs inside their zones and to enforce the input constraints and targets. The performance of the proposed controller is tested through the simulation of a low order industrial process.