State-space black-box model identification of a voltage-source converter with LCL filter

The paper proposes a multivariable identification method to identify the discrete state-space model of a grid-connected voltage-source converter and LCL filter. The method is based in one of the so-called subspace identification methods: the N4SID method. That kind of methods are based on the QR and the Singular Values decompositions and works with black-box state-space model structures, which mean particularly flexibility in the choice of the model representation. The so obtained discrete state-space model of the converter could be used to design directly the control of the system using advanced control techniques as robust control, optimal control, etc.

[1]  Tohru Katayama,et al.  Subspace Methods for System Identification , 2005 .

[2]  T. Du,et al.  Design and application of extended observers for joint state and parameter estimation in high-performance AC drives , 1995 .

[3]  Leon M. Tolbert,et al.  A nonlinear least-squares approach for identification of the induction motor parameters , 2005, IEEE Transactions on Automatic Control.

[4]  J.R. Espinoza,et al.  On-line filtering reactance identification in voltage-source three-phase active-front-end rectifiers , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

[5]  Michel Verhaegen,et al.  Comparative study between three subspace identification algorithms , 1999, 1999 European Control Conference (ECC).

[6]  Dehong Xu,et al.  Parameter Identification of Power Electronic Circuits Based on Hybrid Model , 2005, 2005 IEEE 36th Power Electronics Specialists Conference.

[7]  Daniel Pizarro-Perez,et al.  LQG Servo Controller for the Current Control of $LCL$ Grid-Connected Voltage-Source Converters , 2012, IEEE Transactions on Industrial Electronics.

[8]  Nobuyuki Matsui,et al.  DSP-based current control of three-phase AC/DC PWM converter with model reference adaptive identifier , 1992, PESC '92 Record. 23rd Annual IEEE Power Electronics Specialists Conference.

[9]  P. Zumel,et al.  Impedance Identification Procedure of Three-Phase Balanced Voltage Source Inverters Based on Transient Response Measurements , 2011, IEEE Transactions on Power Electronics.

[10]  A. Keyhani,et al.  Identification of Variable Frequency Induction Motor Models from Operating Data , 2002, IEEE Power Engineering Review.

[11]  S. Cobreces,et al.  Black-box Identification for an auto-tuned current controller working with Voltage Source Converters connected to the grid through a LCL filter , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[12]  David J. Atkinson,et al.  Full-order estimator for induction motor states and parameters , 1998 .

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

[14]  B. Karanayil,et al.  Stator and rotor resistance observers for induction motor drive using fuzzy logic and artificial neural networks , 2005 .

[15]  D. Freitas,et al.  Flux and parameters identification of vector-controlled induction motor in the rotor reference frame , 2002, 7th International Workshop on Advanced Motion Control. Proceedings (Cat. No.02TH8623).

[16]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .