Embedded Subspace Predictive Control, a Model-Based Design Approach
Keywords:Subspace Predictive Controller, Embedded Systems, Model Based Design
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 both simulated and real application.