Simple derivative-free nonlinear state observer for sensorless AC drives Academic Article

abstract

• In this paper, a new Kalman filtering technique, unscented Kalman filter (UKF), is utilized both experimentally and theoretically as a state estimation tool in field-oriented control (FOC) of sensorless ac drives. Using the advantages of this recent derivative-free nonlinear estimation tool, rotor speed and dq-axis fluxes of an induction motor are estimated only with the sensed stator currents and voltages information. In order to compare the estimation performances of the extended Kalman filter (EKF) and UKF explicitly, both observers are designed for the same motor model and run with the same covariance matrices under the same conditions. In the simulation results, it is shown that UKF, whose several intrinsic properties suggest its use over EKF in highly nonlinear systems, has more satisfactory rotor speed and flux estimates, which are the most critical states for FOC. These simulation results are supported with experimental results. 2006 IEEE.

authors

• Ehsani, Mehrdad

published proceedings

• IEEE-ASME TRANSACTIONS ON MECHATRONICS

author list (cited authors)

• Akin, B., Orguner, U., Ersak, A., & Ehsani, M.

citation count

• 58

complete list of authors

• Akin, Bilal||Orguner, Umut||Ersak, Aydin||Ehsani, Mehrdad

publication date

• October 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE-ASME Transactions on Mechatronics  Journal

keywords

• Extended Kalman Filter (ekf)
• Field-oriented Control (foc)
• Induction Motor
• Kalman Filtering
• Speed Estimation
• State Observer
• Unscented Kalman Filter (ukf)

Digital Object Identifier (DOI)

• 10.1109/TMECH.2006.882996

start page

• 634

end page

• 643

volume

• 11

issue

• 5

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftmech.2006.882996