4.2 Predictive Current Control
The proposed predictive control strategy is based on the fact that only a finite number of possible switching states can be generated by a static power converter and that models of the system can be used to predict the behavior of the variables for each switching state. For the selection of the appropriate switching state to be applied, a selection criterion must be defined. This criterion consists of a cost function that will be evaluated for the predicted values of the variables to be controlled. Prediction of the future value of these variables is calculated for each possible switching state and then the state that minimizes the cost function is selected.
This control strategy can be summarized in the following steps:
- Define a cost function g.
- Build a model of the converter and its possible switching states.
- Build a model of the load for prediction.
A discrete-time model of the load is needed to predict the behavior of the variables evaluated by the cost function, that is, the load currents.
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