Gain-scheduled adaptive observer for induction motors: An LMI approach

Abstract

This paper presents a new adaptive rotor flux observer with both speed and rotor and stator resistance identification. The proposed solution, which is based on a full-order Luenberger observer, guarantees a perfect reconstruction of state variables while reducing the drive system complexity. By using the Lyapunov's direct method, the gain-scheduled of the suggested observer can be achieved by solving four bilinear matrix inequalities using the LMI Toolbox of MATLAB. To overcome the problem of parametric variation of induction machine, a tracking-parameter mechanism is used. To validate the effectiveness and robustness of the proposed solution, some simulation results are provided.