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Generalized Model Predictive Pulse Pattern Control Based on Small-Signal Modeling-Part 1: Algorithm
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DOI：10.1109/TPEL.2022.3169113.png)
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Abstract
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A model predictive controller based on optimized pulse patterns is proposed that is suitable for higher-order linear systems, such as converters with LC filters. The controller manipulates the switching times of an optimized pulse pattern. The switching time modifications are approximated by the strengths of impulses, which are based on a small-signal linearization around the nominal switching instants. With these, the evolution of the state variables over the prediction horizon can be described by a set of linear differential equations. An objective function penalizes the predicted tracking error of the controlled variables, such as the converter currents, filter capacitor voltages, and grid currents, over a prediction horizon. Thanks to the use of impulse strengths, the underlying optimization problem is a convex quadratic program, which can be solved in real time to determine the switching time modifications of the pulse pattern to be applied by the controller.
Keywords:
Model predictive control (MPC)
optimized pulse patterns (OPPs)
synchronous optimal pulse width modulation
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