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ADALINE approach for induction motor mechanical parameters identification

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  • Sediki, Hamid
  • Bechouche, Ali
  • Abdeslam, Djaffar Ould
  • Haddad, Salah

Abstract

Two new methods to identify the mechanical parameters in induction motor based field oriented drives are presented in this paper. The identified parameters are: the moment of inertia and the viscous damping coefficient. The proposed methods are based on the adaptive linear neuron (ADALINE) networks. The two parameters are derived and optimized during the online training process. During the identification phase, the motor torque is controlled by the well-known field oriented control strategy. This torque is subjected to variations in order to obtain mechanical speed transients. The two proposed methods are simple to implement compared to the previous techniques. They require only the stator current and mechanical speed measurements. Finally, the effectiveness of the two methods and the accuracy of the derived parameters are proven experimentally by two direct starting tests. The originality of this work is the building of a model representation that it is suitable for implementation with ADALINE networks. This leads to a simple implementation and ease of mechanical parameters identification.

Suggested Citation

  • Sediki, Hamid & Bechouche, Ali & Abdeslam, Djaffar Ould & Haddad, Salah, 2013. "ADALINE approach for induction motor mechanical parameters identification," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 86-97.
    • Handle: RePEc:eee:matcom:v:90:y:2013:i:c:p:86-97
    DOI: 10.1016/j.matcom.2012.05.003
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    References listed on IDEAS

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    1. Krüger, L. & Naunin, D. & Garbrecht, C., 1998. "Stochastic and neural models of an induction motor," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 46(3), pages 313-324.
    2. Pryymak, Bogdan & Moreno-Eguilaz, Juan M. & Peracaula, Juan, 2006. "Neural network flux optimization using a model of losses in induction motor drives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(4), pages 290-298.
    3. Robyns, B. & Buyse, H. & Labrique, F., 1998. "Fuzzy logic based field orientation in an indirect FOC strategy of an induction actuator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 46(3), pages 265-274.
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