Embedded Subspace Predictive Control, a Model Based Design Approach
Keywords:
Subspace Predictive Controller, Embedded Systems, Model Based DesignAbstract
This paper will present a model-based methodology for implementing an embedded, data-driven, subspace predictive controller. The control algorithm captures, in real-time, the characteristics of the plant and self-tunes through process modifications. A data-driven subspace approach is used, in which predictors are calculated directly from input and output data projections. Coding and performance aspects are discussed and tested in Model-In-the-Loop, Software-In-the-Loop and real application.
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