The numerical control of a permanent magnet synchronous motor (PMSM) proves to be difficult and constitutes a problem much studied in the field of the embarked systems and automation. Indeed, the modeling of this type of machine is a nonlinear and complex multivariable system where some parameters (the statorique resistance, the inductance …) vary with the temperature. To solve this problem, the solutions aiming to improve the PMSM knowledge model or to adapt it in the course of drive operation in order to reinforce the control performance by using of robust controllers, were approached and studied in this work. Simulation results carried out on a PMSM drive system clearly show and confirm that the proposed robust nonlinear feedback control via controllers can be used to decouple and track the currents (or speed) reference signals successfully under measurement noises and parameter uncertainties or variations.

PMSM model, Lyapunov theory, nonlinear feedback control, robust control, Matlab/Simulink.