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International Journal of Distributed Computing and Technology

Modelling and Analysis of Five Phase AC Motor in D-Q Axis

  1. Boney Joseph ✉
  2. Linss T Alex
  3. Jineeth Raju
  4. Jerin George K

Abstract

Abstract: In this paper, a quinary phase induction machine is dynamically modelled in D-Q axis. The quinary phase voltages are being converted into two component voltages, one along the direct axis and the other along the quadrature axis. The Speed and torque of quinary phase induction is then derived. The speed of the quinary phase induction motor is estimated using sensor-less method thereby reducing rate and increasing the reliability of the speed guesstimation. The speed guesstimation of the quinary phase induction machine is being done using Direct Synthesis method, Model Reference Adaptive System Method, Luenberger observer method and Extended Kalman Filter method. Direct synthesis method uses a current model block or voltage model for obtaining the direct axis and quadrature rotor fluxes which is being used for speed guesstimation. One of the disadvantages of the Luenberger observer is that it is a deterministic in nature, it does not take into account the noises present in the machine model and also the modelling inaccuracies present in the system. Whereas Kalman Filter takes into account the noises present in the machine model, while estimating of speed. The estimated speed in the four methods revealed above are analysed and the best method suitable for speed guesstimation of quinary phase induction motor is being identified.Keywords: AC motor, component, Model Reference Adaptive System Method, insert, D-Q axisCite this Article: Boney Joseph, Linss T Alex, Jineeth Raju, Jerin George K. Modelling and Analysis of Five Phase AC Motor in D-Q Axis. International Journal of Distributed Computing and Technology. 2019; 5(2): 20–42p.

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