Model-free subspace-based control scheme for grid-connected voltage source inverters

In this paper, both model-free subspace-based LQG control and H∞ control schemes are used to investigate the tracking control performance and robustness of grid-connected voltage source inverters (VSIs). The proposed approaches do not require any identification or other modeling process. The controller can be directly derived from the experimental inputs/outputs measurements. Both the subspace-based LQG controller and H∞ controller are recursively designed. Simulation results show subspace-based LQG controller has a better tracking control performance than subspace-based H∞ controller, whereas, H∞ controller has stronger robustness than LQG controller.

[1]  R. Kennel,et al.  Predictive control of inverter supplied electrical drives , 2000, 2000 IEEE 31st Annual Power Electronics Specialists Conference. Conference Proceedings (Cat. No.00CH37018).

[2]  Michel Verhaegen,et al.  Identification of the deterministic part of MIMO state space models given in innovations form from input-output data , 1994, Autom..

[3]  Zhaoming Qian,et al.  A Robust Control Scheme for Grid-Connected Voltage-Source Inverters , 2011, IEEE Transactions on Industrial Electronics.

[4]  Biao Huang,et al.  A data driven subspace approach to predictive controller design , 2001 .

[5]  Bart De Moor,et al.  Subspace identification of bilinear systems subject to white inputs , 1999, IEEE Trans. Autom. Control..

[6]  Bart De Moor,et al.  N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..

[7]  Biao Huang,et al.  Data-driven predictive control for solid oxide fuel cells , 2007 .

[8]  G.H. Elkaim,et al.  Model Free Subspace H Control for an Autonomous Catamaran , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[9]  Langford B. White,et al.  Application of model‐free LQG subspace predictive control to TCP congestion control , 2008 .

[10]  Michel Fliess,et al.  Model-free control of dc/dc converters , 2010, 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics (COMPEL).

[11]  Bart De Moor,et al.  Subspace Identification for Linear Systems: Theory ― Implementation ― Applications , 2011 .

[12]  R. Kennel,et al.  Direct model predictive control - a new direct predictive control strategy for electrical drives , 2005, 2005 European Conference on Power Electronics and Applications.

[13]  Jonas Balderud,et al.  Data-driven adaptive model-based predictive control with application in wastewater systems , 2011 .