M. Tursini, R. Petrella and F. Parasiliti, “Adaptive Sliding Mode Observer for Speed Sensorless Control of Induction Motors,” IEEE Transactions on Industry Applications, Vol. 36, No. 5, September/October 2000, pp. 1380 -1387.

has been cited by the following article:

• TITLE: Nonlinear Control of an Induction Motor Using a Reduced-Order Extended Sliding Mode Observer for Rotor Flux and Speed Sensorless Estimation

  AUTHORS: Olivier Asseu, Michel Abaka Kouacou, Theophile Roch Ori, Zié Yéo, Malandon Koffi, Xuefang Lin-Shi

  KEYWORDS: Robust Nonlinear Control, Induction Motor, Reduced-Order Extended Sliding Mode Observers, Parameter Estimation

  JOURNAL NAME: Engineering, Vol.2 No.10, November 29, 2010

  ABSTRACT: This article proposes an innovative strategy to the problem of non-linear estimation of states for electrical machine systems. This method allows the estimation of variables that are difficult to access or that are simply impossible to measure. Thus, as compared with a full-order sliding mode observer, in order to reduce the execution time of the estimation, a reduced-order discrete-time Extended sliding mode observer is proposed for on-line estimation of rotor flux, speed and rotor resistance in an induction motor using a robust feedback linearization control. Simulations results on Matlab-Simulink environment for a 1.8 kW induction motor are presented to prove the effectiveness and high robustness of the proposed nonlinear control and observer against modeling uncertainty and measurement noise.