Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, vol.32, no.5, pp.587-596, 2007 (SCI-Expanded, Scopus)
- 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
- Open Archive Collection: AVESIS Open Access Collection
- Karadeniz Technical 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.