State Estimation of the Switched Reluctance Motor MFR 132.5 with MHE and UKF Estimators

Author

Cepero Diaz, Ariel Omar ; Gonzalez Santos, Ana Isabel ; Munoz Alvarez, Javier ; Morera Hernandez, Mario

Author_Institution

ISPJAE, Havana, Cuba

fYear

2014

Firstpage

129

Lastpage

134

Abstract

The measure of the instant angular position of the rotor is integral part of the control of Switching Reluctance Motor (SRM) drivers. The direct measurement of this variable adds complexity and cost to the system and it doesn´t give good results sometimes. This has motivated the development of estimators for the rotor angular position of the SRM. In this work are presented a Moving Horizon Estimator and an Unscented Kalman Filter for estimating the speed and rotor angular position of the SRM MFR 132.5. Both estimators are based on a grey box model of the motor, also presented in this paper. It was carried out the simulation on PC of the designed estimators for estimating the speed and the angular position of the rotor under different motor operation conditions and considering an error in the initial estimation of the angular position and noisy measurements.

Keywords

Kalman filters; grey systems; nonlinear filters; reluctance motor drives; MFR 132.5; MHE estimators; SRM drivers; UKF estimators; grey box model; moving horizon estimator; noisy measurements; rotor angular position; rotor angular position estimation; speed estimation; state estimation; switched reluctance motor; unscented Kalman filter; Estimation error; Mathematical model; Reluctance motors; Rotors; Stators; grey box model; nonlinear state estimation; switching reluctance motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2014 International Conference on

Type

conf

DOI

10.1109/ICMEAE.2014.11

Filename

7120858