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Research Article | Open Access |

Minimal Order Linear Functional Observers Design for Multicell Series Converter

Author 1: Mariem Jday Author 2: Paul-Etienne Vidal Author 3: Joseph Hagg`ege
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 3 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110378

Abstract

The requirement of high voltage-power level for many applications like the energy conversion system give rise to use a structure of a multilevel converter like the multicell series converter. To benefit as much as possible from this power converter an appropriate voltage distribution for each cell must be performed, hence the need to estimate this voltages. This paper aims to design a minimal single linear functional observer for a multicell series converter to estimate the capacitor voltages. Based on its hybrid model, an observability study prove the ability to estimate this capacitor voltages. Also a linear functional observers are proposed using a direct procedure without solving the Sylvester equation and based on an operation mode classification approach. Simulations of four-cells multicell converter are given in order to check the efficiency of the converter’s hybrid model and the performance of the proposed minimal single linear functional observers.

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How to Cite this Article

Jday, M., Vidal, P., & Hagg`ege, J. (2020). Minimal Order Linear Functional Observers Design for Multicell Series Converter. International Journal of Advanced Computer Science and Applications, 11(3). https://doi.org/10.14569/IJACSA.2020.0110378

Jday, Mariem, et al.. "Minimal Order Linear Functional Observers Design for Multicell Series Converter." International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020, https://doi.org/10.14569/IJACSA.2020.0110378.

@article{Jday2020,
  title     = {Minimal Order Linear Functional Observers Design for Multicell Series Converter},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {3},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Mariem Jday and Paul-Etienne Vidal and Joseph Hagg`ege},
  doi       = {10.14569/IJACSA.2020.0110378},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110378}
}

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