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) identifier identifier


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.