FCS-MPC and observer design for a VSI with output LC filter and sinusoidal output currents

Voltage source inverter (VSI) with output LC filter can be used to generate sinusoidal output voltages with reduced low frequency harmonics content. This application is suitable for uninterruptible power supply (UPS) systems. Finite control set model predictive control (FCS-MPC) has proved to be a good candidate for controlling such kind of devices. FCS-MPC relies on accurate system model to achieve high performance. However, output load is not always known for UPS applications. Under this condition, the use of observers to estimate the output load currents is a good solution. In this paper, a FCS-MPC strategy using an unknown input observer (UIO) is assessed. To design the UIO, the nature of the output load has been considered. This paper is focused on output loads with sinusoidal output currents. Two different UIO are evaluated. The first one uses a conventional approach and the second one takes into account the sinusoidal nature of the output load currents. Experimental results in a VSI prototype show that the second approach can provide superior performance independently of the output load connected to the power inverter.

[1]  Leopoldo G. Franquelo,et al.  Design and experimental validation of a Model Predictive Control strategy for a VSI with long prediction horizon , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[2]  Daniel E. Quevedo,et al.  Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics , 2014, IEEE Transactions on Power Electronics.

[3]  Leopoldo G. Franquelo,et al.  Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology , 2015, IEEE Industrial Electronics Magazine.

[4]  Leopoldo G. Franquelo,et al.  Predictive control of a three-phase UPS inverter using two steps prediction horizon , 2010, 2010 IEEE International Conference on Industrial Technology.

[5]  Leopoldo G. Franquelo,et al.  Model Predictive Control: A Review of Its Applications in Power Electronics , 2014, IEEE Industrial Electronics Magazine.

[6]  Leopoldo García Franquelo,et al.  Model Predictive Control of an Inverter With Output $LC$ Filter for UPS Applications , 2009, IEEE Transactions on Industrial Electronics.

[7]  Huibert Kwakernaak,et al.  Linear Optimal Control Systems , 1972 .

[8]  Zhiqiang Gao,et al.  A survey of state and disturbance observers for practitioners , 2006, 2006 American Control Conference.

[9]  T. Undeland,et al.  Stationary frame voltage harmonic controller for standalone power generation , 2007, 2007 European Conference on Power Electronics and Applications.

[10]  J. Uceda,et al.  Uninterruptible power supply systems provide protection , 2007, IEEE Industrial Electronics Magazine.

[11]  Georgios Konstantinou,et al.  A Review of Power Electronics for Grid Connection of Utility-Scale Battery Energy Storage Systems , 2016, IEEE Transactions on Sustainable Energy.

[12]  Young Il Lee,et al.  Disturbance-observer-based model predictive control for output voltage regulation of three-phase inverter for uninterruptible-power-supply applications , 2015, Eur. J. Control.

[13]  Young Il Lee,et al.  Robust Tracking Control of a Three-Phase DC–AC Inverter for UPS Applications , 2014, IEEE Transactions on Industrial Electronics.

[14]  Eun-Kyung Kim,et al.  An Observer-Based Optimal Voltage Control Scheme for Three-Phase UPS Systems , 2015, IEEE Transactions on Industrial Electronics.

[15]  Paolo Mattavelli,et al.  Repetitive-Based Controller for a UPS Inverter to Compensate Unbalance and Harmonic Distortion , 2007, IEEE Transactions on Industrial Electronics.

[16]  Marco Rivera,et al.  Model Predictive Control for Power Converters and Drives: Advances and Trends , 2017, IEEE Transactions on Industrial Electronics.

[17]  Cesar Silva,et al.  Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter , 2012, IEEE Transactions on Industrial Electronics.

[18]  Marian P. Kazmierkowski,et al.  State of the Art of Finite Control Set Model Predictive Control in Power Electronics , 2013, IEEE Transactions on Industrial Informatics.