A new adaptive approach for on-line parameter and state estimation of induction motors

A novel adaptive observer is proposed to perform on-line estimation of both state and parameters of the electrical part of induction motors. The rotor mechanical speed and the stator currents/voltages are assumed to be measured. A particular non-minimal state representation of the machine electrical model is derived and exploited to build the adaptive observer, based on a series-parallel architecture. Lyapunov design is used to develop the adaptation law of the proposed solution. Both simulation results and experimental tests confirm the good performances of the technique.