Performance analysis of FLC-NR based loss minimisation algorithm for BLDC motor
By: Ashna Salim
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Contributor(s): Prince, A.
Publisher: New Delhi STM Journals 2018Edition: Vol. 8(3), Sep-December.Description: 51-59p.Subject(s): Electrical EngineeringOnline resources: Click here
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Trends in electrical engineering (TEE)Summary: Brushless DC motors are increasingly used in industry due to their high power density and ease of control. Efficiency of BLDC motor is reduced due to various losses like copper loss, core loss and switching loss. A fuzzy logic based loss minimisation algorithm is described in this study. Selective harmonic elimination-based pulse-width modulation to optimise both the converter switching losses along with machine core and copper losses is done based on a speed- and load-dependent fuzzy rule matrix. The optimum switching angles for eliminating lower-order harmonics are calculated using Newton Raphson algorithm. Performance analysis is done using MATLAB Simulink environment.
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School of Engineering & Technology Archieval Section | Not for loan | 2018506 |
Brushless DC motors are increasingly used in industry due to their high power density and ease of control. Efficiency of BLDC motor is reduced due to various losses like copper loss, core loss and switching loss. A fuzzy logic based loss minimisation algorithm is described in this study. Selective harmonic elimination-based pulse-width modulation to optimise both the converter switching losses along with machine core and copper losses is done based on a speed- and load-dependent fuzzy rule matrix. The optimum switching angles for eliminating lower-order harmonics are calculated using Newton Raphson algorithm. Performance analysis is done using MATLAB Simulink environment.
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