Title :
Hybrid estimator using advanced model selection approach for sensorless control of PMSM
Author :
Vosmik, David ; Smidl, Vaclav ; Peroutka, Zdenek
Author_Institution :
Regional Innovation Centre for Electr. Eng. (RICE), Univ. of West Bohemia in Pilsen, Pilsen, Czech Republic
Abstract :
This paper presents sensorless PMSM control employing a combination of the extended Kalman filter (EKF) and the high-frequency injection algorithm for estimation of rotor position and speed. Both algorithms itself have limited usage. The hf injection algorithm itself is can be used in standstill and in very low speeds whilst EKF itself can be employed in higher speeds. The problem of the introduced “hybrid” estimator is a proper transition between the EKF and the hf injection strategy. In this paper, we present a new, more sophisticated technique for switching between these strategies based on model selection approach. Two different switching approaches are described and compared. Proposed estimator secures robust sensorless drive operation in full-speed range including standstill. Behaviour of the proposed sensorless control is analysed by experiments made on a developed laboratory prototype of PMSM drive of rated power 10.7kW.
Keywords :
Kalman filters; nonlinear filters; permanent magnet motors; power filters; sensorless machine control; synchronous motor drives; EKF; HF injection algorithm; PMSM drive; advanced model selection approach; extended Kalman filter; high-frequency injection algorithm; hybrid estimator; permanent magnet synchronous motor drives; power 10.7 kW; rotor position estimation; sensorless PMSM control; speed estimation; switching approach; Computational modeling; Estimation; Hafnium; Kalman filters; Magnetic hysteresis; Rotors; Switches; Model selection; Permanent magnet motor (PMSM); Sensorless control; extended Kalman filter (EKF); high-frequency injection algorithm (hf);
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2012 15th International
Conference_Location :
Novi Sad
Print_ISBN :
978-1-4673-1970-6
Electronic_ISBN :
978-1-4673-1971-3
DOI :
10.1109/EPEPEMC.2012.6397459