NDLI: Closed-Loop MRAS speed observer for linear induction motor drives

Content Provider	IEEE Xplore Digital Library
Author	Accetta, A. Cirrincione, M. Pucci, M. Vitale, G.
Copyright Year	2013
Description	Author affiliation: Univ. Technol. de Belfort Montbeliard, Belfort, France (Cirrincione, M.) \|\| ISSIA (Insitute of Intell. Syst. for the Autom.), Palermo, Italy (Accetta, A.; Pucci, M.; Vitale, G.)
Abstract	This paper presents a Closed-Loop Model Reference Adaptive System (CL-MRAS) speed observer developed for linear induction motor (LIM) drives. Starting from the structure of the CL-MRAS speed observer in literature, It is based on a LIM dynamic model taking into consideration the dynamic end-effects. Particularly, the following aspects are original: it employs the voltage and current models of the LIM considering the dynamic end effects, it proposes a net thrust model including the braking force caused by the dynamic end-effects, it considers the friction load of the LIM drive experimentally obtained with off-line tests. The proposed sensorless technique has been tested on a purposely developed experimental set-up. Results show that the CL-MRAS observer permits the drive to operate down to the speed of 0.02 m/s, i.e. about 0.03 % of the rated speed, which is about 10 times lower than the minimum working speed achieved with other observers implemented on the same LIM drive, like the TLS EXIN full-order Luenberger Observer and the TLS EXIN Kalman Filter.
Starting Page	3821
Ending Page	3829
File Size	2274722
Page Count	9
File Format	PDF
ISBN	9781479903368
DOI	10.1109/ECCE.2013.6647207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inductance Magnetic flux Friction Linear Induction Motor (LIM) Force Observers End effects Mathematical model Inductors Sensorless Control Closed-Loop Model Reference Adaptive System (CL-MRAS)
Content Type	Text
Resource Type	Article

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