Descriptor - type Kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor

Alonge, F. and Cirrincione, Maurizio and D’Ippolito, F. and Pucci, M. and Sferlazza, A. and Vitale, G. (2014) Descriptor - type Kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor. IEEE Transactions on Industry Applications, 50 (6). pp. 3754-3766. ISSN 0093-9994

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Abstract

This paper proposes a speed observer for linear induction motors which is composed of two parts: 1) a Kalman filter (KF for the on-line estimation of the machine state variables (inductor currents and induced part flux linkage components), 2) a speed estimator based on the total least-squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, as estimated by the KF, and provides as output the linear LIM speed which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine (RIM). The TLS EXIN neuron has been used to compute, in recursive form, the machine linear speed on-line, since it is the only neural network able to solve on-line in a recursive form a total least-squares problem. The proposed KF-TLS speed observer has been tested experimentally on a suitably developed test setup.

Item Type:	Journal Article
Additional Information:	The article is only open access to Polish scientific and academic institutions.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Ms Shalni Sanjana
Date Deposited:	10 Dec 2014 22:23
Last Modified:	20 Sep 2016 22:44
URI:	https://repository.usp.ac.fj/id/eprint/7856

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