Model Predictive Control for shunt active filters with fixed switching frequency

This paper presents a modification to the classical Model Predictive Control algorithm, named Modulated Model Predictive Control, and its application to active power filters. The proposed control is able to retain all the advantages of a Finite Control Set Model Predictive Control whilst improving the generated waveforms harmonic spectrum. In fact a modulation algorithm, based on the cost function ratio for different output vectors, is inherently included in the MPC. The cost function-based modulator is introduced and its effectiveness on reducing the current ripple is demonstrated. The presented solution provides an effective and straightforward single loop controller, maintaining an excellent dynamic performance despite the modulated output and it is self-synchronizing with the grid. This promising method is applied to the control of a Shunt Active Filter for harmonic content reduction through a reactive power compensation methodology. Significant results obtained by experimental testing are reported and commented, showing that MPC is a viable control solution for active filtering systems

Identification and robust control of a quadratic DC/DC boost converter by Hammerstein model

This paper deals with the theoretical framework definition and the experimental application of the Hammerstein identification and related robust control technique to a quadratic DC-DC single switch boost converter. A set of 4th order transfer functions has been identified with the Hammerstein approach, on the basis of a PRBS excitation signal. The set of identified transfer functions has been then used to design a suitable robust control technique, able to properly deals with converter's parameters uncertainty and load variation. The proposed approach has been tested in numerical simulation and validated experimentally on suitably developed test set-up. It has been further compared with a classic PI controller