TY - GEN
T1 - Estimation and control of sensorless brushless dc motor drive using ensemble kalman filter
AU - Rif'an, Muhammad
AU - Yusivar, Feri
AU - Putro, Benyamin Kusumo
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - In this paper, a technique for estimation of the rotor speed and position of a BLDC motor is presented. BLDC motors are nonlinear system and to control BLDC, rotor position must be known. This is usually done by using sensors that result in increased costs, the size of the motor and reduces reliability. In this research, the rotor speed and rotor position of BLDC motor are estimated by Ensemble Kalman Filter only use the stator line voltage and current measurement. The Ensemble Kalman Filter (EnKF) is a recursive filter suitable for non-linear systems. The estimated rotor speed and position rotor has been used for the motor drive and closed loop speed control of the BLDC motor. The performance of the proposed technique is demonstrated through real-Time simulation.
AB - In this paper, a technique for estimation of the rotor speed and position of a BLDC motor is presented. BLDC motors are nonlinear system and to control BLDC, rotor position must be known. This is usually done by using sensors that result in increased costs, the size of the motor and reduces reliability. In this research, the rotor speed and rotor position of BLDC motor are estimated by Ensemble Kalman Filter only use the stator line voltage and current measurement. The Ensemble Kalman Filter (EnKF) is a recursive filter suitable for non-linear systems. The estimated rotor speed and position rotor has been used for the motor drive and closed loop speed control of the BLDC motor. The performance of the proposed technique is demonstrated through real-Time simulation.
KW - BLDC motor
KW - Ensemble kalman filter
KW - Estimation
KW - Mathematical modeling
UR - http://www.scopus.com/inward/record.url?scp=85021440001&partnerID=8YFLogxK
U2 - 10.1145/3036331.3036353
DO - 10.1145/3036331.3036353
M3 - Conference contribution
AN - SCOPUS:85021440001
T3 - ACM International Conference Proceeding Series
SP - 192
EP - 195
BT - Proceedings of the 8th International Conference on Computer Modeling and Simulation, ICCMS 2017
PB - Association for Computing Machinery
T2 - 8th International Conference on Computer Modeling and Simulation, ICCMS 2017
Y2 - 20 January 2017 through 23 January 2017
ER -