New sensorless commutation technique for brushless DC motors
نویسندگان
چکیده
منابع مشابه
A Neural Network-PSO Based Control for Brushless DC Motors for Minimizing Commutation Torque Ripple
This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (PSO) algorithm analysis. The goal of optimizati...
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Robust sensorless commutation control. External speed reference. Overcurrent detection/protection. Basic speed controller included. Full source code in C. Source code can be adapted to a new motor by changing parameters. Several I/O pins/peripherals not used for motor control. Can be used for other purposes, such as status LEDs, communication or user input. Works without modific...
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متن کاملa neural network-pso based control for brushless dc motors for minimizing commutation torque ripple
this paper presents the method of reducing torque ripple of brushless dc (bldc) motor. the commutation torque ripple is reduced by control of the dc link voltage during the commutation time. the magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (pso) algorithm analysis. the goal of optimization ...
متن کاملA Neural Network - PSO Based Control for Brushless DC Motors for Minimizing Commutation Torque Ripple
This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (PSO) algorithm analysis. The goal of optimization ...
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ژورنال
عنوان ژورنال: IET Electric Power Applications
سال: 2009
ISSN: 1751-8660
DOI: 10.1049/iet-epa:20070517