Brushless DC Electric Motor Speed Control and Power Factor Correction Using Single-Ended Primary Inductor Converter

Author(s):  
Shaw Bikash ◽  
Sengupta Anwesha ◽  
S. B. Mahajan ◽  
Padmanaban Sanjeevikumar ◽  
Shaikh Aamer
Author(s):  
A. Purna Chandra Rao ◽  
Y.P. Obulesh ◽  
Ch. Sai Babu

Earlier for variable speed application conventional motors were used, but these motors have poor characteristics. These drawbacks were overcome by brushless Dc motor drive. Now days in most of the applications such as industrial, domestic, aerospace, defense, medical and traction etc, brushless DC motor (BLDCM) is popular for its high efficiency, high torque to weight ratio, small size, and high reliability, ease of control and low maintenance etc. BLDC motor is a electronic commutator driven drive i.e. it uses a three-phase voltage source inverter for its operation, electronic devices means there is a problem of poor power quality, more torque ripple and speed fluctuations. This paper deals with the CUK converter two leg inverter fed BLDCM drive in closed loop operation. The proposed control strategy on CUK converter two leg inverter fed BLDCM drive with split DC source is modeled and implemented using MATLAB / Simulink. The proposed method improves the efficiency of the drive system with Power factor correction feature in wide range of the speed control, less torque ripple and smooth speed control.


1942 ◽  
Vol 61 (7) ◽  
pp. 507-512
Author(s):  
A. G. Conrad ◽  
F. Zweig ◽  
J. G. Clarke

2019 ◽  
Vol 19 (1) ◽  
pp. 165-176
Author(s):  
Danail Slavov

Abstract Estimating the speed and position using measurable electrical parameters would allow establishment of sensorless control systems for brushless DC motors, without the need to use expensive sensors for the rotor position and speed. When the motor is running, it heats up and the stator resistance rises. This heat-dependent change needs to be reflected in the observer, as it would produce an error in rated speed and position. An adaptive algorithm can compensate for the change of resistance as a disturbing effect of the motor heating. The adaptive algorithm for estimating the resistance is synthesized using the function of Lyapunov. This article is useful for estimation of brushless electric motor speed and position with observer. It contains simulations with an adaptive observer of resistance for sensorless estimation of speed and position in brushless DC motor through measurement of voltage and current.


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