Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network

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KARAKAŞ E., Vardarbasi S.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, vol.32, no.5, pp.587-596, 2007 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 32 Issue: 5
  • Publication Date: 2007
  • Doi Number: 10.1007/s12046-007-0044-4
  • Journal Name: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.587-596
  • Keywords: switched reluctance motor, fuzzy logic controller, artificial neural network, fuzzy logic PI controller, NSTFPI controller, SWITCHED-RELUCTANCE MOTOR, DRIVE
  • Open Archive Collection: AVESIS Open Access Collection
  • Kocaeli University Affiliated: Yes

Abstract

In this work, the dynamic model, flux-current-rotor position and torque-current-rotor position values of the switched reluctance motor (SRM) are obtained in MATLAB/Simulink. Motor control speed is achieved by self-tuning fuzzy PI (Proportional Integral) controller with artificial neural network tuning (NSTFPI). Performance of NSTFPI controller is compared with performance of fuzzy logic (FL) and fuzzy logic PI (FLPI) controllers in respect of rise time, settling time, overshoot and steady state error.