Modified reference tracking MPC for constrained linear systems

Tito L. M. Santos

International Journal of Systems Science, 2018, vol. 49, issue 8, 1674-1684

Abstract: This article presents a model predictive control for tracking piecewise constant references with a new steady-state parametrisation. The modified algorithm is based on the artificial reference idea, but the number of decision variables is equal to the standard MPC for regulation. The proposed strategy is able to track admissible constant references with an admissible evolution. If the reference is not admissible, the system is steered to the closest admissible stationary point. A modified initialisation algorithm is proposed to recover the enlarged domain of attraction provided by related artificial reference-based strategies. Simulation examples are presented to illustrate the benefits of the proposed strategy.

Date: 2018
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DOI: 10.1080/00207721.2018.1478014

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