Speed estimation of an induction motor drive using an optimized extended Kalman filter

By K. Shi, T. Chan, Y. Wong, S. Ho. IEEE transactions on industrial electronics (1982. Print), 2002

311 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2e4a1de5ba9855370647bd793c3ae3cc3a7c6969

How researchers see this paper

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In Electrical and Electronic Engineering

1. François Auger
2. T. Orłowska-Kowalska
3. Josep M. Guerrero
4. Eric Monmasson
5. Seiichiro Katsura
6. Mickaël Hilairet
7. Gilbert Hock Beng Foo
8. Muhammed Fazlur Rahman

Citations in the corpus

• Industrial Applications of the Kalman Filter: A Review (2013, methodology): “In the first research works concerned with rotor flux and speed estimation [23], [24], [27]–[29], the motion equation of the drive system was omitted in the model used to build the KF, and the motor speed was considered as a randomly varying parameter.”
• Speed-Sensorless Estimation for Induction Motors Using Extended Kalman Filters (2007, methodology): “There have been a large number of EKF applications for the sensorless control of IMs; studies using full-order [14], [ 15 ] and reduced order [16], [17] estimators have been presented with experimental results.”