ANALYSIS OF BLDC MOTOR NATURE USING DIFFERENT CONTROLLER

Tushar S. Khodke; Prof.Y. P. Sushir

doi:10.17605/OSF.IO/Q9M78

Authors

Tushar S. Khodke M.E.Electrical Engineering(E&P),Padm.Dr.V.B.Kolte College of Engineering,Malkapur,Maharashtra,India.
Prof.Y. P. Sushir M.E.Electrical Engineering(E&P),Padm.Dr.V.B.Kolte College of Engineering,Malkapur,Maharashtra,India.1,2

DOI:

https://doi.org/10.17605/OSF.IO/Q9M78

Keywords:

brushless DC motor; PID control; fuzzy rule

Abstract

The traditional PID control method has the disadvantages of slow response speed, low precision and poor anti-interference ability when controlling the brushless DC motor system. In view of these shortcomings, a fuzzy PID control based brushless DC motor control system was proposed. The principle and characteristics of fuzzy control were introduced; The control principle of PID control based on fuzzy rules was analyzed; The fuzzy subsets were established and fuzzy control rules were established; The simulation of brushless DC motor control system was simulated by Matlab/Simulink. The results showed that the PID control algorithm based on fuzzy logic control improved the dynamic performance and stronger adaptive ability of the DC brushless motor.

Downloads

Download data is not yet available.

References

Su Guijia, McKeever J W. Low-cost sensorless control of brushless DC motors with improved speed range[J].IEEE Trans. on Power Electronics, 2004, 19(2): 296-302.

Chen H C, Liaw C M. Current-mode control for sensorless BDCM drive with intelligent commutation tuning[J]. IEEE Trans. on Power Electronics, 2002, 17(5): 747-756.

MICHEL D,SYLVIE G,LAURENT P. Application of fuzzy logic control for continuous casting mold level control[J]. IEEE Transactions on Control Systems Technology,1998,6(2):246-256.

Chen Y, Lei J H, Yang X B. Variable Discourse of Universe Fuzzy-PID Temperature Control System for Vacuum Smelting Based on Plc[J].GCIS,2009,18(5):116-121.

R. Nicole, “Title of dissertation work with only first word capitalized,” J. Name Stand. Abbrev., in press Liye S, Jishen P. The study of fuzzy-PI controller of permanent magnet synchronous motor [ J ]. IEEE International Power,2009,5:32-33.

Awadallah M A , Morcos M M. Switch fault diagnosis of PM brushless DC motor drive using adaptive fuzzy techniques[J]. IEEE Trans.On Energy Conversion, 2004, 19(1): 226-227.

R.Arulmozhiyal and K.Baskaran, “Implementation of Fuzzy PI Controller for Speed Control of Induction Motor Using FPGA”, Journal of Power Electronics, Vol.10, No.1, Jan 2010, pp.65-71.

Anjali.A.R “Control Of Three Phase BLDC Motor Using Fuzzy Logic Controller” International Journal of Engineering Research & Technology (IJERT), Vol. 2, Issue 7, July 2013.

R. Kandiban, R. Arulmozhiyal “Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor” International Journal of Soft Computing and Engineering ,Volume-2, Issue-1, March 2012.

R.Arulmozhiyal and K.Baskaran, “Implementation of Fuzzy PI Controller for Speed Control of Induction Motor Using FPGA”, Journal of Power Electronics, Vol.10, No.1, pp.65-71, Jan 2010.

Essam Natsheh and Khalid A. Buragga, “Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors”, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010.

Murugaantham. N, Palani. S, Hybrid Fuzzy-PI controller based speed control for pmbldc motor using sof switching", European Joural of Scientifc Research, June 2012.

Vishal Verma, V Harish, Renu Bhardwaj "Hybrid PI speed Controllers for Permanent Magnet Brushless DC motor", IEEE Conference, 2012,lndia.