Design and Simulation of Artificial Neural Network (ANN) Based Speed Control for an Induction Motor Taking Core Loss and Stray Load Losses into Account

Autor/innen

  • Md. Rifat Hazari Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
  • Effat Jahan Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
  • Mohammad Abdul Mannan Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
  • Junji Tamura Department of EEE, Kitami Institute of Technology (KIT), Japan

Schlagwörter:

Induction motor, field oriented control, artificial neural network controller, core loss, stray load loss

Abstract

Indirect field oriented control (FOC) scheme has been preferred due to its superior performance for induction motor (IM). Core loss (CL) and stray load losses (SLLs) are generally neglected in the mathematical model of IM. But it should be considered in themathematical model of IM to precisely control the torque and flux. Conventional PI controller has overshooting effect at the transient period of the speed response curve.Artificial neural network (ANN) is suitable as a controller for nonlinear systems such as IM.In this paper, an ANN-based speed controller is proposed to control the speed of IM.Simulations analyses have been performed using MATLAB/SIMULINK. The results showed better performance from the proposed controller to control the speed of IM at the transientand steady-state condition without any overshooting effect as compared to the PI controller.Cite this ArticleHazari MR, Jahan E, Mannan MA, et al.Design and Simulation of ArtificialNeural Network-Based Speed Controlfor an Induction Motor Taking intoAccount Core Loss and Stray LoadLosses. Journal of Control &Instrumentation. 2015; 5(3): 13–22p.

Autor/innen-Biografien

  • Md. Rifat Hazari, Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
    Department of EEE, American International University-Bangladesh (AIUB)
  • Effat Jahan, Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
    Department of EEE, American International University-Bangladesh (AIUB)
  • Mohammad Abdul Mannan, Department of EEE, American International University-Bangladesh (AIUB), Bangladesh
    Department of EEE, American International University-Bangladesh (AIUB)
  • Junji Tamura, Department of EEE, Kitami Institute of Technology (KIT), Japan
    Department of EEE, Kitami Institute of Technology (KIT)

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Veröffentlicht

2015-10-17

Ausgabe

Bd. 6 Nr. 3 (2015)

Rubrik

Research Articles

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