Constrained Receding Horizon Predictive Control For Position Tracking Of A Induction Motor

Sorin Olaru, Didier Dumur

Abstract


The receding horizon strategy can successfully manage controlling an
industrial positioning system demanding high-performances. The most important
difficulties rise when handling constraints imposed by the physical limitations or
stability requirements. In the present paper, the feasibility analysis for the optimal
control sequence will be used as a tuning procedure for the predictive strategy.
Further the time-consuming on-line constrained optimization is avoided by means of
an off-line computed linear law, whose limitations are adapted on-line. The linear
dependence of the limitations on the context parameters is detailed and the linear
expression of the adaptation mechanism is found.

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