Neurocontroller for Power Electronics-Based Devices

  • M. Oliver Perez
  • Juan M. Ramirez
  • H. Pavel Zuniga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)


This paper presents the Static Synchronous Compensator’s (StatCom) voltage regulation by a B-Spline neural network. The fact that the electric grid is a non-stationary system, with varying parameters and configurations, adaptive control schemes may be advisable. Thereby the control technique must guarantee its performance on the actual operating environment where the StatCom is embedded. An artificial neural network (ANN) is trained to foresee the device’s behavior and to tune the corresponding controllers. Proportional-Integral (PI) and B-Spline controllers are assembled for the StatCom’s control, where the tuning of parameters is based on the neural network model. Results of the lab prototype are exhibited under different conditions.


Artificial neural network B-Spline StatCom FACTS 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • M. Oliver Perez
    • 1
  • Juan M. Ramirez
    • 1
  • H. Pavel Zuniga
    • 2
  1. 1.CINVESTAV-GuadalajaraZapopanMexico
  2. 2.Centro Universitario de Ciencias Exactas e Ingeniería, Posgrado de Ingeniería EléctricaUniversidad de GuadalajaraGuadalajaraMexico

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