Estimation of nonlinear control parameters in induction machine using particle filtering

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, particle filtering (PF) is addressed for both estimation and control to be integrated into a unified closed-loop or feedback control system that is applicable for a general family of nonlinear control structures. In the current work, the state variables (the rotor speed, the rotor flux, and the stator flux) as well as the model parameters are simultaneously estimated from noisy measurements of these variables, and the estimation technique is evaluated by computing the estimation root mean square error (RMSE) with respect to the noise-free data. In this case, in addition to comparing the performances of the estimation, the effect of the number of estimated model parameters on the accuracy and convergence of this technique is also assessed. Simulation analysis demonstrates that the particle filter can well estimate the states/parameters under disturbs of the noise, and it provides efficient accuracies for the states estimation.

Original languageEnglish
Title of host publication2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013
DOIs
Publication statusPublished - 2013
Event2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013 - Hammamet, Tunisia
Duration: 18 Mar 201321 Mar 2013

Other

Other2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013
CountryTunisia
CityHammamet
Period18/3/1321/3/13

Fingerprint

Rotors
Fluxes
State estimation
Mean square error
Stators
Feedback control
Control systems

Keywords

  • induction machine
  • nonlinear control
  • particle filter
  • States/parameters estimation

ASJC Scopus subject areas

  • Signal Processing

Cite this

Mansouri, M., Mohamed-Seghir, M., Nounou, H., Nounou, M., & Abu-Rub, H. (2013). Estimation of nonlinear control parameters in induction machine using particle filtering. In 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013 [6564095] https://doi.org/10.1109/SSD.2013.6564095

Estimation of nonlinear control parameters in induction machine using particle filtering. / Mansouri, Majdi; Mohamed-Seghir, Mostefa; Nounou, Hazem; Nounou, Mohamed; Abu-Rub, Haitham.

2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013. 2013. 6564095.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mansouri, M, Mohamed-Seghir, M, Nounou, H, Nounou, M & Abu-Rub, H 2013, Estimation of nonlinear control parameters in induction machine using particle filtering. in 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013., 6564095, 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013, Hammamet, Tunisia, 18/3/13. https://doi.org/10.1109/SSD.2013.6564095
Mansouri M, Mohamed-Seghir M, Nounou H, Nounou M, Abu-Rub H. Estimation of nonlinear control parameters in induction machine using particle filtering. In 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013. 2013. 6564095 https://doi.org/10.1109/SSD.2013.6564095
Mansouri, Majdi ; Mohamed-Seghir, Mostefa ; Nounou, Hazem ; Nounou, Mohamed ; Abu-Rub, Haitham. / Estimation of nonlinear control parameters in induction machine using particle filtering. 2013 10th International Multi-Conference on Systems, Signals and Devices, SSD 2013. 2013.
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