WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 15, 2020
Improvement of Induction Motor State Observation: Extended Kalman Filter Versus Adaptive Luenberger Observer
Authors: , ,
Abstract: the sensor-less control is a major issue in control domain. The use of sensors has several downsides like high cost, fragility and low reliability. Furthermore, the physical environment sometimes, does not allow to use sensors. Due to the multiple variables and non-linearity of induction motor dynamics, the estimation of the rotor speed and flux without the measurement is still a very challenging subject. The main objective of this paper is to present a comparative study between two observer’s structures, a full order adaptive observer based on Lyapunov theory and inherently extended Kalman filter which did not take the speed as adaptive quantity. Both of them are linked to a vector controlled induction motor drive. The effectiveness and estimation accuracy is investigated in detail by simulation results.
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Keywords: Sensor-less control, Extended Kalman filter, Adaptive Luenberger observer, Stochastic observer
Pages: 120-130
DOI: 10.37394/23203.2020.15.14