Neurocontroller for Power Electronics-Based Devices

  • Authors:

  • M. Oliver Perez;Juan M. Ramirez;H. Pavel Zuniga

  • Affiliations:

  • CINVESTAV-Guadalajara, Zapopan, Mexico 45015;CINVESTAV-Guadalajara, Zapopan, Mexico 45015;Centro Universitario de Ciencias Exactas e Ingeniería, Posgrado de Ingeniería Eléctrica, Universidad de Guadalajara, Guadalajara, Mexico

  • Venue:
  • CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  • Year:
  • 2009

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Abstract

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.