Accetta, A. and Cirrincione, Maurizio and Pucci, M. and Sferlazza, A. (2020) State Space-Vector Model of Linear Induction Motors Including End-effects and Iron Losses: Part II: Model Identification and Results. IEEE Transactions on Industry Applications, 56 (1). pp. 245-255. ISSN 0093-9994
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This is the second part of a paper, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear Induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses as well as the off-line identification of its parameters. This second part is devoted to the description of an identification technique which has been suitably developed for the estimation of the electrical parameters of the LIM dynamic model accounting for both the dynamic end-effects and iron losses. Such an identification technique is strictly related to the state formulation of the proposed model and exploits Genetic Algorithms (GA) for minimizing a suitable cost function based on the processing of both the primary current and speed estimation errors. The proposed parameters' estimation technique has been validated experimentally on a suitably developed test set-up. It has been further validated by a Finite Element Analysis (FEA) model of the LIM.
| Item Type: | Journal Article |
|---|---|
| Uncontrolled Keywords: | Mathematical model;Iron;Estimation;Current measurement;Induction motors;Voltage measurement;Resistance;Linear Induction Motor;End-effects;Identification technique;Parameter estimation |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Fulori Nainoca - Waqairagata |
| Date Deposited: | 13 Jan 2020 03:40 |
| Last Modified: | 28 May 2020 05:09 |
| URI: | https://repository.usp.ac.fj/id/eprint/11918 |
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