MRAS and Luenberger Observer Based Sensorless Indirect Vector Control of Induction Motors

摘要

In this study, Luenberger observer (LO) with a model reference adaptive system (MRAS) are associated for a sensorless vector control of an induction motor (IM). It is shown by an extensive study that this adaptive observer is completely satisfactory at low and nominal speed ranges and it is robust to load torque variations. The proposed control scheme achieves a good performance with computational complexity reduction obtained using analytical relation to determine the LO gain matrix. The effectiveness of the proposed scheme is checked via extensive simulation work. Simulation results prove that the proposed overall scheme provides both the rotor flux and rotor speed estimation with good transient and steady state performances.