Effective estimation of speed and rotor position of a PM synchronous motor drive by a Kalman filtering technique

Author

Bado, A. ; Bolognani, S. ; Zigliotto, M.

Author_Institution

Dept. of Electr. Eng., Padova Univ., Italy

fYear

1992

fDate

29 Jun-3 Jul 1992

Firstpage

951

Abstract

The estimation of the speed and the rotor position of a permanent magnet synchronous motor drive by means of a stochastic filtering technique is considered. The proposed estimation algorithm does not require knowledge of the mechanical parameters and initial rotor position, thus overcoming two of the biggest drawbacks of the speed and position estimation systems already developed. In addition, the estimation algorithm is merged with a predictive algorithm for the control of the motor currents. The two algorithms share some routines, which reduces the computational burden

Keywords

Kalman filters; electric current control; filtering and prediction theory; machine control; parameter estimation; permanent magnet motors; position control; stochastic processes; synchronous motors; velocity control; Kalman filtering technique; PM synchronous motor drive; current control; estimation algorithm; permanent magnet; predictive algorithm; rotor position estimation; speed estimation; stochastic filtering; Electromechanical sensors; Filtering; Kalman filters; Magnetic separation; Permanent magnet motors; Prediction algorithms; Rotors; State estimation; Stochastic processes; Synchronous motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 1992. PESC '92 Record., 23rd Annual IEEE

Conference_Location

Toledo

Print_ISBN

0-7803-0695-3

Type

conf

DOI

10.1109/PESC.1992.254781

Filename

254781