Author :
Vasic, Veran ; VUKOSAVIC, S.
Author_Institution :
Inst. for Power & Electron. Eng., Novi Sad Univ., Serbia
Abstract :
This letter proposes a model reference adaptive system (MRAS)-based algorithm for simultaneous stator resistance (R s) and rotor speed (ω) identification of position sensorless induction motor to accurately estimate ω at low speeds without affecting drive performance. The R s has to be estimated concurrently with the ω estimation to compensate for the fluctuation in R s. The reference model and adjustable model are interchangeable for concurrent ω and R s estimation. For stator resistance identification, the two models switch roles. Extensive computer simulation and experimental investigation prove the effectiveness of the proposed solution.
Keywords :
electric resistance; induction motor drives; machine control; model reference adaptive control systems; parameter estimation; robust control; rotors; stators; computer simulation; drive performance; induction motor drive; low speeds estimation; parallel model reference adaptive system; position sensorless induction motor; robust MRAS-based algorithm; rotor speed identification; stator resistance identification; Impedance; Investments; Load flow; Power engineering and energy; Power quality; Power system analysis computing; Power system modeling; Robustness; Stators; Voltage;
Journal_Title :
Power Engineering Review, IEEE
