Robust digital position control of brushless DC motor with adaptive load torque observer

1994 ◽  
Vol 141 (2) ◽  
pp. 63 ◽  
Author(s):  
J.-S. Ko
Keyword(s):  
Position Control ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Load Torque ◽  
Brushless Dc ◽  
Torque Observer ◽  
Load Torque Observer

MRAC load torque observer for position control of a brushless DC motor

1996 ◽  
Vol 80 (2) ◽  
pp. 201-209 ◽  
Author(s):  
JONG SUN KO ◽  
YOUNG SEOK JUNG ◽  
MYUNG JOONG YOUN
Keyword(s):  
Position Control ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Load Torque ◽  
Brushless Dc ◽  
Torque Observer ◽  
Load Torque Observer

scholarly journals Analysis of sensorless control of brushless DC motor using unknown input observer with different gains

2017 ◽  
Vol 68 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Mitesh B. Astik ◽  
Praghnesh Bhatt ◽  
Bhavesh R. Bhalja
Keyword(s):  
Sensorless Control ◽  
Estimation Algorithm ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Load Torque ◽  
Brushless Dc ◽  
Control Scheme ◽  
Simulation Results

Abstract A sensorless control scheme based on an unknown input observer is presented in this paper in which back EMF of the Brushless DC Motor (BLDC) is continuously estimated from available line voltages and currents. During negative rotation of motor, actual and estimated speed fail to track the reference speed and if the corrective action is not taken by the observer, the motor goes into saturation. To overcome this problem, the speed estimation algorithm has been implemented in this paper to control the dynamic behavior of the motor during negative rotation. The Ackermans method was used to calculate the gains of an unknown input observer which is based on the appropriate choice of the eigenvalues in advance. The criteria to choose eigenvalue is to obtain a balance between faster convergence rate and the least noise level. Simulations have been carried out for different disturbances such as step changes in motor reference speed and load torque. The comparative simulation results clearly depict that the disturbance effects in actual and estimated responses minimizes as observer gain setting increases.

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