Reduction technique of speed ripple using learning control for small brushless 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...
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 Wide Speed Range Sensorless Control Technique of Brushless Dc Motors for Electric Propulsors
This paper presents a sensorless drive technique for permanent-magnet brushless DC motors applied to electric propulsors of small ships or underwater vehicles. Propulsors enveloping electric motors (e.g., POD or subsea thrusters) have been increasingly applied due to their advantages of excellent maneuverability, high efficiency and low maintenance costs. To secure reliable operation under wate...
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 کاملAdaptive intelligent speed control of switched reluctance motors with torque ripple reduction
Switched Reluctance (SR) motors have a wide range of applications in industries, mainly due to the special properties of this motor. But, because of its dynamical nonlinearities, its control is complex. This paper presents an adaptive intelligent control based on the Lyapunov stability theory to control the speed of SR motors with good accuracies and performances. The proposed controller compos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEJ Transactions on Industry Applications
سال: 1990
ISSN: 0913-6339,1348-8163
DOI: 10.1541/ieejias.110.1237