Estimation of Nonlinear Control Parameters In Induction Machine Using Particle Filtering Conference Paper uri icon

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. 2013 IEEE.

name of conference

  • 10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13)

published proceedings

  • 2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD)

author list (cited authors)

  • Mansouri, M., Mohamed-Seghir, M., Nounou, H., Nounou, M., & Abu-Rub, H.

citation count

  • 1

complete list of authors

  • Mansouri, Majdi||Mohamed-Seghir, Mostefa||Nounou, Hazem||Nounou, Mohamed||Abu-Rub, Haitham

publication date

  • March 2013