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

The measure of the instant angular position of the rotor is integral part of the control of Switching Reluctance Motor 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 estima...

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Bibliographic Details
Published in:Revista IEEE América Latina 2016-01, Vol.14 (1), p.147-152
Main Authors: Cepero, A.O., Gonzalez, A.I.
Format: Article
Language:English
Subjects:
Angular position
Braking systems
Estimating
Estimators
Kalman filters
Magnetism
Mathematical models
Media
modeling
motor
Motors
Position measurement
Reluctance
Reluctance motors
Rotors
simulation
State estimation
State estimators
Switches
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Summary:The measure of the instant angular position of the rotor is integral part of the control of Switching Reluctance Motor 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 paper 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.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2016.7430074